# Mixpeek > The semantic retrieval layer for unstructured and multimodal data. **Last Updated:** 2026-10-21 ## What is Mixpeek? Mixpeek is the semantic retrieval layer for unstructured and multimodal data. It turns video, audio, images, documents and other raw objects into named semantic features, connects them through taxonomies and ontologies, and exposes stable multi-stage retrievers that applications and AI agents query by name, without binding themselves to a particular model or index. **Core Mission:** Make the semantics inside unstructured data addressable, so an application or an agent asks for what it needs by name and keeps working when the model underneath is replaced. ## When to Use Mixpeek Reach for Mixpeek when the job involves retrieval over unstructured files that already live in object storage, and the answer depends on what is INSIDE the files rather than on their names or metadata. Good fits, stated as jobs: - **Find a moment inside a video.** "The scene where the red car turns left" over a library of footage, returning a timestamped segment rather than a whole file. - **Search across modalities at once.** One query over video, images, audio and PDFs where the match may come from a transcript, a frame, OCR text or an embedding. - **Make an existing object-storage corpus searchable** without moving it. Point a bucket at S3-compatible storage and index in place. - **Cluster or taxonomize a large media set** by content, and keep the labels updated as the corpus grows. - **Give an agent a retrieval tool** over private media, via MCP or the REST API, with permissioning scoped per namespace. Poor fits, so you do not waste a call: - Plain text-only document search where a standard text index is sufficient. - Anything requiring the raw file to leave your storage: source and destination are both object storage by design. - Real-time sub-second indexing of a live stream. Extraction is a pipeline. How an agent should call it: 1. **MCP** is the shortest path for tool use. `@mixpeek/mcp` on npm, or see https://mixpeek.com/docs/agent-integrations/mcp 2. **REST** for everything else, against https://api.mixpeek.com. The full machine-readable contract is at https://api.mixpeek.com/docs/openapi.json 3. Outside the public marketplace below, authenticate with `Authorization: Bearer `. Scope work to a namespace; buckets hold objects, collections hold documents, retrievers run the queries. 4. Start at https://mixpeek.com/docs/overview/quickstart (append `.md` for raw markdown). ## Try a hosted retriever with no account Mixpeek hosts public retrievers over sample datasets in its marketplace. Free listings run without an API key or a signup. 1. List them: `curl "https://api.mixpeek.com/v1/marketplace/catalog?limit=100"` 2. Read one: `curl https://api.mixpeek.com/v1/marketplace/catalog/video-search` The input key is in `display_config.inputs[].field_name`. It differs by listing (`query`, `text`, `query_image`), so read it before calling. 3. Run it: ``` curl -X POST https://api.mixpeek.com/v1/marketplace/catalog/video-search/execute \ -H 'Content-Type: application/json' \ -d '{"inputs":{"query":"western standoff in a dusty town"},"limit":5}' ``` Matches are in `documents[]`, ranked by `score`. A `status` of `degraded` means part of the search did not run, and `warnings` says which part. 4. To run the same retriever on your own data you need an API key. `GET /v1/marketplace/catalog/{name}/template` returns the stages to send to `POST /v1/retrievers`. ## Developer Resources Named by type, so a search for the resource finds the resource. Every URL here was checked live on 2026-08-22; five of the first ten I drafted were 404s, so treat this table as the verified list rather than the guessable one. | Resource | Type | URL | |---|---|---| | API reference | REST API documentation | https://mixpeek.com/docs/api-reference | | OpenAPI specification | OpenAPI 3.x JSON schema | https://api.mixpeek.com/docs/openapi.json | | API keys and authentication | Auth guide | https://mixpeek.com/docs/api-reference/organization-api-keys/create-api-key | | MCP server | Model Context Protocol server | https://mixpeek.com/docs/agent-integrations/mcp | | MCP server source | Repository, npm `@mixpeek/mcp` | https://github.com/mixpeek/mcp-server | | Webhooks | Event delivery reference | https://mixpeek.com/docs/operations/webhooks | | Rate limits and quotas | Limits reference | https://mixpeek.com/docs/operations/rate-limits-quotas | | Python SDK | Client library | https://github.com/mixpeek/python-sdk | | Quickstart | Getting-started guide | https://mixpeek.com/docs/overview/quickstart | | Changelog | Dated product changes | https://mixpeek.com/changelog | ## Quick Links - Documentation: https://mixpeek.com/docs - API Reference: https://mixpeek.com/docs/api-reference - OpenAPI Spec: https://api.mixpeek.com/docs/openapi.json - Dashboard: https://studio.mixpeek.com - Semantic Layer (the architecture, vendor-neutral): https://mixpeek.com/semantic-layer - Reverse Video Search: https://mixpeek.com/reverse-video-search - Video RAG (retrieval-augmented generation over video): https://mixpeek.com/video-rag - Chunking Strategies for RAG: https://mixpeek.com/chunking-strategies - Unstructured Data Processing: https://mixpeek.com/unstructured-data - Trust Center (security, compliance, data handling): https://mixpeek.com/trust - Solution finder (19 common problems, each with the recipe, tutorial or module that solves it): https://mixpeek.com/find-solution - GitHub: https://github.com/mixpeek - Discord: https://discord.gg/mixpeek ## Machine Access (for AI agents and crawlers) - Any docs page serves raw markdown: append `.md` to its URL (e.g. https://mixpeek.com/docs/overview/quickstart.md) - Full docs corpus in one file: https://mixpeek.com/llms-full.txt (~2.5 MB) - This file (content index): https://mixpeek.com/llms.txt · agent manifest: https://mixpeek.com/ai.txt - MCP: product docs for connecting agents live at https://mixpeek.com/docs/agent-integrations/mcp (.md works). Note: https://mixpeek.com/docs/mcp is a POST-only JSON-RPC MCP endpoint for docs search. A GET returns 405 by design; connect with an MCP client instead. - OpenAPI spec: https://api.mixpeek.com/docs/openapi.json ## Content Types Available | Type | Count | Path | |------|-------|------| | Blog Posts | 50+ | /blog/:slug | | Glossary Terms | 134+ | /glossary/:slug | | Recipes | 40+ | /recipes/:slug | | Namespace Templates | 36 | /templates/:slug | | Capabilities (What the Platform Does) | 47 | /capabilities/:id | | Education Videos (Concept Explainers) | 128 | /education/videos/:slug | | Mixpeek Appliance (Private Deployment) | 7 | /datacenter/:page | | Solutions (Industry Overviews) | 24 | /solutions/:slug | | Use Cases (Worked Problems) | 44 | /use-cases/:slug | | Blog (Dated Engineering Writing) | 122 | /blog/:slug | | Glossary (Concept Definitions) | 196 | /glossary/:slug | | Changelog (Dated Product Changes) | 25 | /changelog | | Research (Papers Explained) | 17 | /research/:slug | | Diagrams (Visual Explainers) | 67 | /diagrams/:slug | | Technical Guides | 179 | /guides/:slug | | Curated Lists (Buyer Guides) | 59 | /curated-lists/:slug | | Feature Extractors | 20+ | /extractors/:slug | | Retrievers | 10+ | /retrievers/:slug | | Tutorials | 30+ | /tutorials/:slug | | Education Modules | 30+ | /education/module/:slug | | Comparisons | 53 | /comparisons/:slug | | Solutions | 10+ | /solutions/:slug | | Use Cases | 8+ | /use-cases/:slug | | Connectors | 10+ | /connectors/:slug | | FAQ | 52+ | /faq | ## Curated Lists (Buyer Guides & Tool Comparisons) Answer-first comparison guides for evaluating multimodal AI, vector search, and unstructured-data tooling. Best entry points for buyers comparing options. - [Best Ad Tech AI Platforms](https://mixpeek.com/curated-lists/best-ad-tech-ai-platforms) - [Best AI Content Moderation Tools](https://mixpeek.com/curated-lists/best-ai-content-moderation-tools) - [Best AI Data Warehouses](https://mixpeek.com/curated-lists/best-ai-data-warehouses) - [Best AI Digital Asset Management](https://mixpeek.com/curated-lists/best-ai-digital-asset-management) - [Best AI Ecommerce Search](https://mixpeek.com/curated-lists/best-ai-ecommerce-search) - [Best AI For Document Analysis](https://mixpeek.com/curated-lists/best-ai-for-document-analysis) - [Best AI Image Search Tools](https://mixpeek.com/curated-lists/best-ai-image-search-tools) - [Best AI Legal Document Review](https://mixpeek.com/curated-lists/best-ai-legal-document-review) - [Best AI Medical Imaging](https://mixpeek.com/curated-lists/best-ai-medical-imaging) - [Best AI Metadata Extraction Tools](https://mixpeek.com/curated-lists/best-ai-metadata-extraction-tools) - [Best AI Search Apis](https://mixpeek.com/curated-lists/best-ai-search-apis) - [Best AI Video Analysis Tools](https://mixpeek.com/curated-lists/best-ai-video-analysis-tools) - [Best AI Video Tagging Tools](https://mixpeek.com/curated-lists/best-ai-video-tagging-tools) - [Best Audio Processing Tools](https://mixpeek.com/curated-lists/best-audio-processing-tools) - [Best Brand Safety Tools](https://mixpeek.com/curated-lists/best-brand-safety-tools) - [Best Computer Vision Apis](https://mixpeek.com/curated-lists/best-computer-vision-apis) - [Best Copyright Detection Tools](https://mixpeek.com/curated-lists/best-copyright-detection-tools) - [Best Document AI Platforms](https://mixpeek.com/curated-lists/best-document-ai-platforms) - [Best Document Parsing Tools](https://mixpeek.com/curated-lists/best-document-parsing-tools) - [Best Embedding Visualization Tools](https://mixpeek.com/curated-lists/best-embedding-visualization-tools) - [Best Face Recognition Apis](https://mixpeek.com/curated-lists/best-face-recognition-apis) - [Best Feature Extraction Apis](https://mixpeek.com/curated-lists/best-feature-extraction-apis) - [Best Gemini Flash Models For Metadata Extraction](https://mixpeek.com/curated-lists/best-gemini-flash-models-for-metadata-extraction) - [Best Hybrid Search Engines](https://mixpeek.com/curated-lists/best-hybrid-search-engines) - [Best Image Recognition Apis](https://mixpeek.com/curated-lists/best-image-recognition-apis) - [Best Image Similarity Search Tools](https://mixpeek.com/curated-lists/best-image-similarity-search-tools) - [Best Image Tagging Apis](https://mixpeek.com/curated-lists/best-image-tagging-apis) - [Best Mcp Servers](https://mixpeek.com/curated-lists/best-mcp-servers) - [Best Multimodal AI Apis](https://mixpeek.com/curated-lists/best-multimodal-ai-apis) - [Best Multimodal Data Platforms](https://mixpeek.com/curated-lists/best-multimodal-data-platforms) - [Best Multimodal Embedding Models](https://mixpeek.com/curated-lists/best-multimodal-embedding-models) - [Best Multimodal RAG Frameworks](https://mixpeek.com/curated-lists/best-multimodal-rag-frameworks) - [Best Multimodal Search Apis](https://mixpeek.com/curated-lists/best-multimodal-search-apis) - [Best Nsfw Detection Apis](https://mixpeek.com/curated-lists/best-nsfw-detection-apis) - [Best Object Detection Apis](https://mixpeek.com/curated-lists/best-object-detection-apis) - [Best OCR Apis](https://mixpeek.com/curated-lists/best-ocr-apis) - [Best Open Source ML Pipelines](https://mixpeek.com/curated-lists/best-open-source-ml-pipelines) - [Best PDF Extraction Tools](https://mixpeek.com/curated-lists/best-pdf-extraction-tools) - [Best RAG Frameworks](https://mixpeek.com/curated-lists/best-rag-frameworks) - [Best Rerankers](https://mixpeek.com/curated-lists/best-rerankers) - [Best Reverse Image Search Apis](https://mixpeek.com/curated-lists/best-reverse-image-search-apis) - [Best Reverse Video Search Tools](https://mixpeek.com/curated-lists/best-reverse-video-search-tools) - [Best S3 Compatible Object Storage](https://mixpeek.com/curated-lists/best-s3-compatible-object-storage) - [Best S3 Object Storage For AI](https://mixpeek.com/curated-lists/best-s3-object-storage-for-ai) - [Best Self Hosted Embedding Models](https://mixpeek.com/curated-lists/best-self-hosted-embedding-models) - [Best Semantic Search Engines](https://mixpeek.com/curated-lists/best-semantic-search-engines) - [Best Speech To Text Apis](https://mixpeek.com/curated-lists/best-speech-to-text-apis) - [Best Tools To Make Image Libraries Searchable](https://mixpeek.com/curated-lists/best-tools-to-make-image-libraries-searchable) - [Best Unstructured Data Tools](https://mixpeek.com/curated-lists/best-unstructured-data-tools) - [Best Vector Databases](https://mixpeek.com/curated-lists/best-vector-databases) - [Best Video Deduplication Tools](https://mixpeek.com/curated-lists/best-video-deduplication-tools) - [Best Video Intelligence Apis](https://mixpeek.com/curated-lists/best-video-intelligence-apis) - [Best Video Moderation Tools](https://mixpeek.com/curated-lists/best-video-moderation-tools) - [Best Video Search Tools](https://mixpeek.com/curated-lists/best-video-search-tools) - [Best Video Transcription Tools](https://mixpeek.com/curated-lists/best-video-transcription-tools) - [Best Video Understanding Platforms](https://mixpeek.com/curated-lists/best-video-understanding-platforms) - [Best Vision Language Models](https://mixpeek.com/curated-lists/best-vision-language-models) - [Best Visual Document Retrieval Models](https://mixpeek.com/curated-lists/best-visual-document-retrieval-models) - [Best Visual Search Apis](https://mixpeek.com/curated-lists/best-visual-search-apis) ## Technical Guides (Concepts & Deep-Dives) Vendor-neutral explainers on how AI systems see, hear, and search unstructured content: embeddings, retrieval, attention, indexing, and agentic search. - [Adaptive Indexing For Agentic Search](https://mixpeek.com/guides/adaptive-indexing-for-agentic-search) - [Adcp Vs Aamp Agentic Advertising Standards](https://mixpeek.com/guides/adcp-vs-aamp-agentic-advertising-standards) - [Agent Perception Evals](https://mixpeek.com/guides/agent-perception-evals) - [Agentic Audiences Contextual Embeddings Video](https://mixpeek.com/guides/agentic-audiences-contextual-embeddings-video) - [Agentic Hierarchical Cluster Search](https://mixpeek.com/guides/agentic-hierarchical-cluster-search) - [Agentic Retrieval How Agents Search Differently](https://mixpeek.com/guides/agentic-retrieval-how-agents-search-differently) - [Agentic Search Over Cluster Hierarchies](https://mixpeek.com/guides/agentic-search-over-cluster-hierarchies) - [AI Video Analysis](https://mixpeek.com/guides/ai-video-analysis) - [Approximate Nearest Neighbor Algorithms](https://mixpeek.com/guides/approximate-nearest-neighbor-algorithms) - [Artf Contextual Agent Container](https://mixpeek.com/guides/artf-contextual-agent-container) - [ASR Decoding Beam Search Lm Fusion](https://mixpeek.com/guides/asr-decoding-beam-search-lm-fusion) - [Audio Feature Extraction How Agents Learn To Hear](https://mixpeek.com/guides/audio-feature-extraction-how-agents-learn-to-hear) - [Audio Fingerprinting Constellation Landmark Hashing](https://mixpeek.com/guides/audio-fingerprinting-constellation-landmark-hashing) - [Audio Visual Retrieval For AI Agents](https://mixpeek.com/guides/audio-visual-retrieval-for-ai-agents) - [Bm25 Inverted Index Lexical Retrieval Internals](https://mixpeek.com/guides/bm25-inverted-index-lexical-retrieval-internals) - [Brand Safety Tool False Positives On Video](https://mixpeek.com/guides/brand-safety-tool-false-positives-on-video) - [Brand Safety Vs Brand Suitability Video](https://mixpeek.com/guides/brand-safety-vs-brand-suitability-video) - [Bring Your Own Model Custom Extractor Search Pipeline](https://mixpeek.com/guides/bring-your-own-model-custom-extractor-search-pipeline) - [Budget Aware Multi Vector Retrieval](https://mixpeek.com/guides/budget-aware-multi-vector-retrieval) - [Build A Taxonomy From Unlabeled Data](https://mixpeek.com/guides/build-a-taxonomy-from-unlabeled-data) - [Build Multimodal Data Warehouse](https://mixpeek.com/guides/build-multimodal-data-warehouse) - [C2pa Content Credentials Media Provenance](https://mixpeek.com/guides/c2pa-content-credentials-media-provenance) - [Calibrating Similarity Scores](https://mixpeek.com/guides/calibrating-similarity-scores) - [Capability Aware Retrieval For Agents](https://mixpeek.com/guides/capability-aware-retrieval-for-agents) - [Change Data Capture For A Search Index](https://mixpeek.com/guides/change-data-capture-for-a-search-index) - [Chunk Contextualization Late Chunking Contextual Retrieval](https://mixpeek.com/guides/chunk-contextualization-late-chunking-contextual-retrieval) - [Composite Clustering Multi Feature Cluster Of Clusters](https://mixpeek.com/guides/composite-clustering-multi-feature-cluster-of-clusters) - [Compute Pushdown Search Object Storage](https://mixpeek.com/guides/compute-pushdown-search-object-storage) - [Computer Use Agent Memory](https://mixpeek.com/guides/computer-use-agent-memory) - [Context Engineering AI Agents](https://mixpeek.com/guides/context-engineering-ai-agents) - [Contrastive Learning How Clip Siglip And Clap Work](https://mixpeek.com/guides/contrastive-learning-how-clip-siglip-and-clap-work) - [Cost To Make A Media Library Searchable](https://mixpeek.com/guides/cost-to-make-a-media-library-searchable) - [Creative Ad Analysis Agent Perception](https://mixpeek.com/guides/creative-ad-analysis-agent-perception) - [Cross Encoder Reranking](https://mixpeek.com/guides/cross-encoder-reranking) - [Cross Lingual Multimodal Retrieval](https://mixpeek.com/guides/cross-lingual-multimodal-retrieval) - [Ctv Ads What Content Did They Run Next To](https://mixpeek.com/guides/ctv-ads-what-content-did-they-run-next-to) - [Ctv Bid Request Content Categories](https://mixpeek.com/guides/ctv-bid-request-content-categories) - [Debugging Retrieval Results RAG Vector Search](https://mixpeek.com/guides/debugging-retrieval-results-rag-vector-search) - [Decision Models In Retrieval Pipelines](https://mixpeek.com/guides/decision-models-in-retrieval-pipelines) - [Deep Research Agent Over Your Own Data](https://mixpeek.com/guides/deep-research-agent-over-your-own-data) - [Deleting Data From A Vector Index](https://mixpeek.com/guides/deleting-data-from-a-vector-index) - [Did My Search Get Better Test A Retrieval Change](https://mixpeek.com/guides/did-my-search-get-better-test-a-retrieval-change) - [Diversity Aware Retrieval MMR Dpp](https://mixpeek.com/guides/diversity-aware-retrieval-mmr-dpp) - [Do You Need A Vector Database](https://mixpeek.com/guides/do-you-need-a-vector-database) - [Efficient Attention Long Context Multimodal](https://mixpeek.com/guides/efficient-attention-long-context-multimodal) - [Embedding Fine Tuning Distillation](https://mixpeek.com/guides/embedding-fine-tuning-distillation) - [Embedding Model Migration Without Reembedding](https://mixpeek.com/guides/embedding-model-migration-without-reembedding) - [Embedding Portability Versioning](https://mixpeek.com/guides/embedding-portability-versioning) - [Embedding Quantization Compression](https://mixpeek.com/guides/embedding-quantization-compression) - [Embedding Space Geometry](https://mixpeek.com/guides/embedding-space-geometry) - [Evaluating Multimodal Retrieval](https://mixpeek.com/guides/evaluating-multimodal-retrieval) - [Face Recognition Identity Clustering](https://mixpeek.com/guides/face-recognition-identity-clustering) - [Filtered Vector Search Pre Post In Place](https://mixpeek.com/guides/filtered-vector-search-pre-post-in-place) - [Fine Tuning With Lora Adapters](https://mixpeek.com/guides/fine-tuning-with-lora-adapters) - [Forced Alignment Audio Video Agent Search](https://mixpeek.com/guides/forced-alignment-audio-video-agent-search) - [How Do I Find Out If Someone Reposted My Video](https://mixpeek.com/guides/how-do-i-find-out-if-someone-reposted-my-video) - [How Do I Find Out Where A Video Came From](https://mixpeek.com/guides/how-do-i-find-out-where-a-video-came-from) - [How Do You Search A 3d World You Generated](https://mixpeek.com/guides/how-do-you-search-a-3d-world-you-generated) - [How To Check If Image Is Copyrighted](https://mixpeek.com/guides/how-to-check-if-image-is-copyrighted) - [How To Check If Picture Is Copyrighted](https://mixpeek.com/guides/how-to-check-if-picture-is-copyrighted) - [How To Check If Song Is Copyrighted](https://mixpeek.com/guides/how-to-check-if-song-is-copyrighted) - [How To Check If Video Is Copyrighted](https://mixpeek.com/guides/how-to-check-if-video-is-copyrighted) - [How To Classify Content Against A Taxonomy](https://mixpeek.com/guides/how-to-classify-content-against-a-taxonomy) - [How To Evaluate A RAG Pipeline](https://mixpeek.com/guides/how-to-evaluate-a-rag-pipeline) - [How To Filter Vector Search By Location Geospatial](https://mixpeek.com/guides/how-to-filter-vector-search-by-location-geospatial) - [How To Find Duplicate Photos Including Edited Copies](https://mixpeek.com/guides/how-to-find-duplicate-photos-including-edited-copies) - [How To Find Every Ad That Shows A Product](https://mixpeek.com/guides/how-to-find-every-ad-that-shows-a-product) - [How To Find One Specific Moment In Hours Of Footage](https://mixpeek.com/guides/how-to-find-one-specific-moment-in-hours-of-footage) - [How To Find Where Users Got Stuck In Usability Test Recordings](https://mixpeek.com/guides/how-to-find-where-users-got-stuck-in-usability-test-recordings) - [How To Get An Alert When A Camera Sees Something Specific](https://mixpeek.com/guides/how-to-get-an-alert-when-a-camera-sees-something-specific) - [How To Ingest Millions Of Files At Scale](https://mixpeek.com/guides/how-to-ingest-millions-of-files-at-scale) - [How To Keep Footage Of Minors Out Of A Video Training Dataset](https://mixpeek.com/guides/how-to-keep-footage-of-minors-out-of-a-video-training-dataset) - [How To Let An AI Agent Look Through My Video Library](https://mixpeek.com/guides/how-to-let-an-ai-agent-look-through-my-video-library) - [How To Make Scanned Pdfs Searchable](https://mixpeek.com/guides/how-to-make-scanned-pdfs-searchable) - [How To Match The Right Video To Each Article](https://mixpeek.com/guides/how-to-match-the-right-video-to-each-article) - [How To Prove Who Changed A Configuration And Why](https://mixpeek.com/guides/how-to-prove-who-changed-a-configuration-and-why) - [How To Search Meeting Recordings For What Someone Said](https://mixpeek.com/guides/how-to-search-meeting-recordings-for-what-someone-said) - [How To Search Photos Video And Audio On Device Without Uploading](https://mixpeek.com/guides/how-to-search-photos-video-and-audio-on-device-without-uploading) - [How To Stop Duplicate Videos Showing Up In Search Results](https://mixpeek.com/guides/how-to-stop-duplicate-videos-showing-up-in-search-results) - [Hybrid Search Bm25 Vector Fusion](https://mixpeek.com/guides/hybrid-search-bm25-vector-fusion) - [Hybrid Search Fusion Rrf Score Normalization](https://mixpeek.com/guides/hybrid-search-fusion-rrf-score-normalization) - [IAB Agent Registry Agents](https://mixpeek.com/guides/iab-agent-registry-agents) - [IAB Buyer Agent Contextual Classification](https://mixpeek.com/guides/iab-buyer-agent-contextual-classification) - [IAB Content Taxonomy Classification Benchmark](https://mixpeek.com/guides/iab-content-taxonomy-classification-benchmark) - [Index Freshness Incremental Updates](https://mixpeek.com/guides/index-freshness-incremental-updates) - [Instance Level Visual Matching Keypoints Geometric Verification](https://mixpeek.com/guides/instance-level-visual-matching-keypoints-geometric-verification) - [Instruction Tuned Embeddings](https://mixpeek.com/guides/instruction-tuned-embeddings) - [Late Interaction Retrieval](https://mixpeek.com/guides/late-interaction-retrieval) - [Learned Sparse Retrieval Splade Dense Hybrid](https://mixpeek.com/guides/learned-sparse-retrieval-splade-dense-hybrid) - [Live Vs Materialized Semantic Features](https://mixpeek.com/guides/live-vs-materialized-semantic-features) - [Long Context Video Understanding](https://mixpeek.com/guides/long-context-video-understanding) - [Marengo 3 Bedrock Architecture Benchmarks Vector Storage](https://mixpeek.com/guides/marengo-3-bedrock-architecture-benchmarks-vector-storage) - [Mask Aware Retrieval For AI Agents](https://mixpeek.com/guides/mask-aware-retrieval-for-ai-agents) - [Matryoshka Nested Embeddings Adaptive Retrieval](https://mixpeek.com/guides/matryoshka-nested-embeddings-adaptive-retrieval) - [Mcp Tool Design For Multimodal Search](https://mixpeek.com/guides/mcp-tool-design-for-multimodal-search) - [Mcp Tools Multimodal AI Agents](https://mixpeek.com/guides/mcp-tools-multimodal-ai-agents) - [Merge Data Sources Different Schemas](https://mixpeek.com/guides/merge-data-sources-different-schemas) - [Modality Gap Cross Modal Retrieval](https://mixpeek.com/guides/modality-gap-cross-modal-retrieval) - [Monocular Depth Estimation 3d From One Image](https://mixpeek.com/guides/monocular-depth-estimation-3d-from-one-image) - [Multi Index Search Architecture](https://mixpeek.com/guides/multi-index-search-architecture) - [Multi Object Tracking Following Objects Across Frames](https://mixpeek.com/guides/multi-object-tracking-following-objects-across-frames) - [Multi Stage Retrieval How Agents Search Unstructured Data](https://mixpeek.com/guides/multi-stage-retrieval-how-agents-search-unstructured-data) - [Multi Stage Retrieval Retrieve Filter Rerank](https://mixpeek.com/guides/multi-stage-retrieval-retrieve-filter-rerank) - [Multi Tenant Vector Search Tenant Isolation](https://mixpeek.com/guides/multi-tenant-vector-search-tenant-isolation) - [Multimodal Chunking Strategies](https://mixpeek.com/guides/multimodal-chunking-strategies) - [Multimodal Data Warehouse Architecture](https://mixpeek.com/guides/multimodal-data-warehouse-architecture) - [Multimodal Perception For AI Agents](https://mixpeek.com/guides/multimodal-perception-for-ai-agents) - [Multimodal RAG Pipeline Architecture](https://mixpeek.com/guides/multimodal-rag-pipeline-architecture) - [Muvera Fixed Dimensional Encodings Multi Vector Retrieval](https://mixpeek.com/guides/muvera-fixed-dimensional-encodings-multi-vector-retrieval) - [Object Decomposition Layered Indexing](https://mixpeek.com/guides/object-decomposition-layered-indexing) - [OCR Document AI Internals](https://mixpeek.com/guides/ocr-document-ai-internals) - [Omnimodal Embeddings](https://mixpeek.com/guides/omnimodal-embeddings) - [Open Vocabulary Object Detection](https://mixpeek.com/guides/open-vocabulary-object-detection) - [Openproposal Aamp 3 Explained](https://mixpeek.com/guides/openproposal-aamp-3-explained) - [Optical Context Compression Text As Vision Tokens](https://mixpeek.com/guides/optical-context-compression-text-as-vision-tokens) - [Payload Projection For Agentic Vector Search](https://mixpeek.com/guides/payload-projection-for-agentic-vector-search) - [Perceptual Image Hashing Near Duplicate Detection](https://mixpeek.com/guides/perceptual-image-hashing-near-duplicate-detection) - [Photo Has No Date Or Location Metadata](https://mixpeek.com/guides/photo-has-no-date-or-location-metadata) - [Pii Detection And Redaction In Images Video And Audio](https://mixpeek.com/guides/pii-detection-and-redaction-in-images-video-and-audio) - [Pre Publication Ip Clearance Guide](https://mixpeek.com/guides/pre-publication-ip-clearance-guide) - [Production Ingestion Reliability Agent Perception](https://mixpeek.com/guides/production-ingestion-reliability-agent-perception) - [Queries Without A Predefined Ontology](https://mixpeek.com/guides/queries-without-a-predefined-ontology) - [Query Planning Multimodal Retrieval](https://mixpeek.com/guides/query-planning-multimodal-retrieval) - [Query Rewriting Expansion And Hyde](https://mixpeek.com/guides/query-rewriting-expansion-and-hyde) - [Query Transformation Pipelines For Agentic Retrieval](https://mixpeek.com/guides/query-transformation-pipelines-for-agentic-retrieval) - [Raw To Semantic Models Unstructured Data](https://mixpeek.com/guides/raw-to-semantic-models-unstructured-data) - [Reasoning Rerankers Listwise LLM Reranking](https://mixpeek.com/guides/reasoning-rerankers-listwise-llm-reranking) - [Retrieval Control Planes For AI Agents](https://mixpeek.com/guides/retrieval-control-planes-for-ai-agents) - [Retrieval Feedback Loops Learning To Rank From Interactions](https://mixpeek.com/guides/retrieval-feedback-loops-learning-to-rank-from-interactions) - [Reverse Video Search How It Works](https://mixpeek.com/guides/reverse-video-search-how-it-works) - [Search And Manage AI Generated Video And Images](https://mixpeek.com/guides/search-and-manage-ai-generated-video-and-images) - [Search Every Conversation You Have With GPT Live](https://mixpeek.com/guides/search-every-conversation-you-have-with-gpt-live) - [Search Every Image You Generate With Chatgpt](https://mixpeek.com/guides/search-every-image-you-generate-with-chatgpt) - [Search Every World You Generate With Atlas](https://mixpeek.com/guides/search-every-world-you-generate-with-atlas) - [Search Every World You Generate With Runway](https://mixpeek.com/guides/search-every-world-you-generate-with-runway) - [Search Everything You Generate On Fal](https://mixpeek.com/guides/search-everything-you-generate-on-fal) - [Search Full Video From Clip](https://mixpeek.com/guides/search-full-video-from-clip) - [Semantic Caching For Agents](https://mixpeek.com/guides/semantic-caching-for-agents) - [Semantic Contract For Unstructured Data](https://mixpeek.com/guides/semantic-contract-for-unstructured-data) - [Semantic Layer Beyond Sql Retrieval Plans](https://mixpeek.com/guides/semantic-layer-beyond-sql-retrieval-plans) - [Semantic Layer In Production](https://mixpeek.com/guides/semantic-layer-in-production) - [Speaker Diarization Who Said What](https://mixpeek.com/guides/speaker-diarization-who-said-what) - [Streaming Video Understanding Online Memory](https://mixpeek.com/guides/streaming-video-understanding-online-memory) - [Structured Extraction From Unstructured Documents](https://mixpeek.com/guides/structured-extraction-from-unstructured-documents) - [Twelvelabs Marengo Embeddings Vector Store](https://mixpeek.com/guides/twelvelabs-marengo-embeddings-vector-store) - [Vector Database Cost Comparison](https://mixpeek.com/guides/vector-database-cost-comparison) - [Vector Database On S3 Object Storage](https://mixpeek.com/guides/vector-database-on-s3-object-storage) - [Vector Search On Nfs Lustre Local Nvme](https://mixpeek.com/guides/vector-search-on-nfs-lustre-local-nvme) - [Vector Storage Tiering](https://mixpeek.com/guides/vector-storage-tiering) - [Video Anomaly Detection For AI Agents](https://mixpeek.com/guides/video-anomaly-detection-for-ai-agents) - [Video Embedding Models](https://mixpeek.com/guides/video-embedding-models) - [Video Frame Sampling For Embeddings](https://mixpeek.com/guides/video-frame-sampling-for-embeddings) - [Video Highlight Detection](https://mixpeek.com/guides/video-highlight-detection) - [Video Perception Layer For AI Agents](https://mixpeek.com/guides/video-perception-layer-for-ai-agents) - [Video RAG Retrieval Augmented Generation Over Video](https://mixpeek.com/guides/video-rag-retrieval-augmented-generation-over-video) - [Video Scene Segmentation](https://mixpeek.com/guides/video-scene-segmentation) - [Video Temporal Grounding](https://mixpeek.com/guides/video-temporal-grounding) - [Vision Language Model Architecture](https://mixpeek.com/guides/vision-language-model-architecture) - [Visual Document Retrieval](https://mixpeek.com/guides/visual-document-retrieval) - [What Is Multimodal Data Warehouse](https://mixpeek.com/guides/what-is-multimodal-data-warehouse) - [What Is Multimodal In Google Search Console](https://mixpeek.com/guides/what-is-multimodal-in-google-search-console) - [Why Does AI Miss Things In A Long Video](https://mixpeek.com/guides/why-does-ai-miss-things-in-a-long-video) - [Why Does Content Moderation Flag So Many False Positives](https://mixpeek.com/guides/why-does-content-moderation-flag-so-many-false-positives) - [Why Does Image Search Miss Small Objects](https://mixpeek.com/guides/why-does-image-search-miss-small-objects) - [Why Does My Docs Chatbot Return Half A Code Example](https://mixpeek.com/guides/why-does-my-docs-chatbot-return-half-a-code-example) - [Why Does My Document Search Miss Answers In Charts And Tables](https://mixpeek.com/guides/why-does-my-document-search-miss-answers-in-charts-and-tables) - [Why Does My Podcast Search Find The Right Episode But Not The Moment](https://mixpeek.com/guides/why-does-my-podcast-search-find-the-right-episode-but-not-the-moment) - [Why Does My Search Find The Right Document But The Wrong Part](https://mixpeek.com/guides/why-does-my-search-find-the-right-document-but-the-wrong-part) - [Why Does My Search Only Work In One Language](https://mixpeek.com/guides/why-does-my-search-only-work-in-one-language) - [Why Does My Video Search Return The Wrong Scene](https://mixpeek.com/guides/why-does-my-video-search-return-the-wrong-scene) - [Why First Vector Search Query On S3 Is Slow](https://mixpeek.com/guides/why-first-vector-search-query-on-s3-is-slow) - [Why Image Search Returns Similar Not Exact](https://mixpeek.com/guides/why-image-search-returns-similar-not-exact) - [Why Is My Image Embedding Model So Slow On CPU](https://mixpeek.com/guides/why-is-my-image-embedding-model-so-slow-on-cpu) - [Why Search Cant Find Exact Part Numbers Codes Names](https://mixpeek.com/guides/why-search-cant-find-exact-part-numbers-codes-names) - [Why Search Results Change Every Time](https://mixpeek.com/guides/why-search-results-change-every-time) - [Why Search Results Get Worse As You Add More Data](https://mixpeek.com/guides/why-search-results-get-worse-as-you-add-more-data) - [Why Vector Search Returns Fewer Results With Filter](https://mixpeek.com/guides/why-vector-search-returns-fewer-results-with-filter) - [Why Video Search Misses On Screen Text](https://mixpeek.com/guides/why-video-search-misses-on-screen-text) - [Write Ahead Log Object Storage](https://mixpeek.com/guides/write-ahead-log-object-storage) ## Head-to-Head Comparisons (Mixpeek vs Alternatives) Feature, pricing, and deployment breakdowns of Mixpeek against video AI platforms, vector databases, and search APIs. Honest about when each tool wins. - [Colpali Vs OCR](https://mixpeek.com/comparisons/colpali-vs-ocr) - [Elasticsearch Vs Pinecone](https://mixpeek.com/comparisons/elasticsearch-vs-pinecone) - [Faiss Vs Pinecone](https://mixpeek.com/comparisons/faiss-vs-pinecone) - [Google Document AI Vs Aws Textract](https://mixpeek.com/comparisons/google-document-ai-vs-aws-textract) - [Google Vision Vs Aws Rekognition](https://mixpeek.com/comparisons/google-vision-vs-aws-rekognition) - [Langchain Vs Llamaindex](https://mixpeek.com/comparisons/langchain-vs-llamaindex) - [Managed Vs Self Hosted AI](https://mixpeek.com/comparisons/managed-vs-self-hosted-ai) - [Mixpeek Vs Algolia](https://mixpeek.com/comparisons/mixpeek-vs-algolia) - [Mixpeek Vs Aws Rekognition](https://mixpeek.com/comparisons/mixpeek-vs-aws-rekognition) - [Mixpeek Vs Chroma](https://mixpeek.com/comparisons/mixpeek-vs-chroma) - [Mixpeek Vs Clarifai](https://mixpeek.com/comparisons/mixpeek-vs-clarifai) - [Mixpeek Vs Coactive](https://mixpeek.com/comparisons/mixpeek-vs-coactive) - [Mixpeek Vs Deepset](https://mixpeek.com/comparisons/mixpeek-vs-deepset) - [Mixpeek Vs Diy](https://mixpeek.com/comparisons/mixpeek-vs-diy) - [Mixpeek Vs Elasticsearch](https://mixpeek.com/comparisons/mixpeek-vs-elasticsearch) - [Mixpeek Vs Glean](https://mixpeek.com/comparisons/mixpeek-vs-glean) - [Mixpeek Vs Google Vertex AI](https://mixpeek.com/comparisons/mixpeek-vs-google-vertex-ai) - [Mixpeek Vs Haystack](https://mixpeek.com/comparisons/mixpeek-vs-haystack) - [Mixpeek Vs Hive](https://mixpeek.com/comparisons/mixpeek-vs-hive) - [Mixpeek Vs Jina](https://mixpeek.com/comparisons/mixpeek-vs-jina) - [Mixpeek Vs Lancedb](https://mixpeek.com/comparisons/mixpeek-vs-lancedb) - [Mixpeek Vs Langchain](https://mixpeek.com/comparisons/mixpeek-vs-langchain) - [Mixpeek Vs Llamaindex](https://mixpeek.com/comparisons/mixpeek-vs-llamaindex) - [Mixpeek Vs Marqo](https://mixpeek.com/comparisons/mixpeek-vs-marqo) - [Mixpeek Vs Milvus](https://mixpeek.com/comparisons/mixpeek-vs-milvus) - [Mixpeek Vs Nuclia](https://mixpeek.com/comparisons/mixpeek-vs-nuclia) - [Mixpeek Vs Pinecone](https://mixpeek.com/comparisons/mixpeek-vs-pinecone) - [Mixpeek Vs Ragie](https://mixpeek.com/comparisons/mixpeek-vs-ragie) - [Mixpeek Vs Roboflow](https://mixpeek.com/comparisons/mixpeek-vs-roboflow) - [Mixpeek Vs Turbopuffer](https://mixpeek.com/comparisons/mixpeek-vs-turbopuffer) - [Mixpeek Vs Twelvelabs](https://mixpeek.com/comparisons/mixpeek-vs-twelvelabs) - [Mixpeek Vs Typesense](https://mixpeek.com/comparisons/mixpeek-vs-typesense) - [Mixpeek Vs Unstructured](https://mixpeek.com/comparisons/mixpeek-vs-unstructured) - [Mixpeek Vs Vectara](https://mixpeek.com/comparisons/mixpeek-vs-vectara) - [Mixpeek Vs Vidrovr](https://mixpeek.com/comparisons/mixpeek-vs-vidrovr) - [Mixpeek Vs Visua](https://mixpeek.com/comparisons/mixpeek-vs-visua) - [Mixpeek Vs Voxel51](https://mixpeek.com/comparisons/mixpeek-vs-voxel51) - [Mixpeek Vs Weaviate](https://mixpeek.com/comparisons/mixpeek-vs-weaviate) - [Multimodal Data Warehouse Vs Data Lakehouse](https://mixpeek.com/comparisons/multimodal-data-warehouse-vs-data-lakehouse) - [Multimodal Data Warehouse Vs Multimodal Database](https://mixpeek.com/comparisons/multimodal-data-warehouse-vs-multimodal-database) - [Multimodal Data Warehouse Vs Vector Database](https://mixpeek.com/comparisons/multimodal-data-warehouse-vs-vector-database) - [Multimodal RAG Vs Text RAG](https://mixpeek.com/comparisons/multimodal-rag-vs-text-rag) - [Openai Embeddings Vs Cohere](https://mixpeek.com/comparisons/openai-embeddings-vs-cohere) - [Pinecone Vs Chroma](https://mixpeek.com/comparisons/pinecone-vs-chroma) - [Pinecone Vs Milvus](https://mixpeek.com/comparisons/pinecone-vs-milvus) - [Pinecone Vs Pgvector](https://mixpeek.com/comparisons/pinecone-vs-pgvector) - [Pinecone Vs Qdrant](https://mixpeek.com/comparisons/pinecone-vs-qdrant) - [RAG Vs Fine Tuning](https://mixpeek.com/comparisons/rag-vs-fine-tuning) - [Semantic Search Vs Keyword Search](https://mixpeek.com/comparisons/semantic-search-vs-keyword-search) - [Twelve Labs Vs Google Video Intelligence](https://mixpeek.com/comparisons/twelve-labs-vs-google-video-intelligence) - [Twelvelabs Vs Google Video Intelligence](https://mixpeek.com/comparisons/twelvelabs-vs-google-video-intelligence) - [Vector Search Vs Full Text Search](https://mixpeek.com/comparisons/vector-search-vs-full-text-search) - [Weaviate Vs Qdrant](https://mixpeek.com/comparisons/weaviate-vs-qdrant) ## Alternatives Pages (evaluating a switch) For teams evaluating alternatives to a specific vendor: what Mixpeek does differently, migration path, and honest guidance on when to stay. - [Algolia](https://mixpeek.com/alternative/algolia) - [Aws Rekognition](https://mixpeek.com/alternative/aws-rekognition) - [Chroma](https://mixpeek.com/alternative/chroma) - [Clarifai](https://mixpeek.com/alternative/clarifai) - [Coactive](https://mixpeek.com/alternative/coactive) - [Deepset](https://mixpeek.com/alternative/deepset) - [Diy](https://mixpeek.com/alternative/diy) - [Elasticsearch](https://mixpeek.com/alternative/elasticsearch) - [Glean](https://mixpeek.com/alternative/glean) - [Google Vertex AI](https://mixpeek.com/alternative/google-vertex-ai) - [Haystack](https://mixpeek.com/alternative/haystack) - [Hive](https://mixpeek.com/alternative/hive) - [Jina](https://mixpeek.com/alternative/jina) - [Lancedb](https://mixpeek.com/alternative/lancedb) - [Langchain](https://mixpeek.com/alternative/langchain) - [Llamaindex](https://mixpeek.com/alternative/llamaindex) - [Marqo](https://mixpeek.com/alternative/marqo) - [Milvus](https://mixpeek.com/alternative/milvus) - [Nuclia](https://mixpeek.com/alternative/nuclia) - [Pinecone](https://mixpeek.com/alternative/pinecone) - [Ragie](https://mixpeek.com/alternative/ragie) - [Roboflow](https://mixpeek.com/alternative/roboflow) - [Turbopuffer](https://mixpeek.com/alternative/turbopuffer) - [Twelvelabs](https://mixpeek.com/alternative/twelvelabs) - [Typesense](https://mixpeek.com/alternative/typesense) - [Unstructured](https://mixpeek.com/alternative/unstructured) - [Vectara](https://mixpeek.com/alternative/vectara) - [Vidrovr](https://mixpeek.com/alternative/vidrovr) - [Visua](https://mixpeek.com/alternative/visua) - [Voxel51](https://mixpeek.com/alternative/voxel51) - [Weaviate](https://mixpeek.com/alternative/weaviate) ## Diagrams (Visual Explainers) One diagram per information-retrieval concept (embeddings, nearest-neighbor search, decomposition, chunking, hybrid retrieval, reranking, RAG, evaluation), each with prose, alt text, and ImageObject/LearningResource schema. - [Agentic Retrieval](https://mixpeek.com/diagrams/agentic-retrieval) - [Chunking](https://mixpeek.com/diagrams/chunking) - [Chunking Strategies](https://mixpeek.com/diagrams/chunking-strategies) - [Code In The Pipeline](https://mixpeek.com/diagrams/code-in-the-pipeline) - [Contextual Page Signals](https://mixpeek.com/diagrams/contextual-page-signals) - [Contrastive Learning](https://mixpeek.com/diagrams/contrastive-learning) - [Decomposition](https://mixpeek.com/diagrams/decomposition) - [Embedding Landscape](https://mixpeek.com/diagrams/embedding-landscape) - [Embedding Quantization](https://mixpeek.com/diagrams/embedding-quantization) - [Embeddings](https://mixpeek.com/diagrams/embeddings) - [Eval](https://mixpeek.com/diagrams/eval) - [Eval Metrics](https://mixpeek.com/diagrams/eval-metrics) - [Feature Extraction](https://mixpeek.com/diagrams/feature-extraction) - [Filtered Vector Search](https://mixpeek.com/diagrams/filtered-vector-search) - [Filters Exclude](https://mixpeek.com/diagrams/filters-exclude) - [Frame Sampling](https://mixpeek.com/diagrams/frame-sampling) - [Gemini Flash Metadata](https://mixpeek.com/diagrams/gemini-flash-metadata) - [How Reranking Works](https://mixpeek.com/diagrams/how-reranking-works) - [Hybrid Retrieval](https://mixpeek.com/diagrams/hybrid-retrieval) - [Image Across The Web](https://mixpeek.com/diagrams/image-across-the-web) - [Ingestion At Scale](https://mixpeek.com/diagrams/ingestion-at-scale) - [Late Interaction](https://mixpeek.com/diagrams/late-interaction) - [Match Cascade](https://mixpeek.com/diagrams/match-cascade) - [Matryoshka Representation Learning](https://mixpeek.com/diagrams/matryoshka-representation-learning) - [Mcp Multimodal](https://mixpeek.com/diagrams/mcp-multimodal) - [Modality Gap](https://mixpeek.com/diagrams/modality-gap) - [Moment Group Sessions](https://mixpeek.com/diagrams/moment-group-sessions) - [Multi Vector Search](https://mixpeek.com/diagrams/multi-vector-search) - [Multimodal Decomposition](https://mixpeek.com/diagrams/multimodal-decomposition) - [Multimodal Warehouse](https://mixpeek.com/diagrams/multimodal-warehouse) - [Muvera Anisotropy](https://mixpeek.com/diagrams/muvera-anisotropy) - [Muvera Fde Pipeline](https://mixpeek.com/diagrams/muvera-fde-pipeline) - [Muvera Query Doc Asymmetry](https://mixpeek.com/diagrams/muvera-query-doc-asymmetry) - [Muvera Recall Ablation](https://mixpeek.com/diagrams/muvera-recall-ablation) - [Muvera Two Tier Retrieval](https://mixpeek.com/diagrams/muvera-two-tier-retrieval) - [Mvs](https://mixpeek.com/diagrams/mvs) - [Numeric Filter Reranks](https://mixpeek.com/diagrams/numeric-filter-reranks) - [Object Storage Market Map](https://mixpeek.com/diagrams/object-storage-market-map) - [One Edge Hop](https://mixpeek.com/diagrams/one-edge-hop) - [Query Expansion](https://mixpeek.com/diagrams/query-expansion) - [Query Specificity](https://mixpeek.com/diagrams/query-specificity) - [RAG](https://mixpeek.com/diagrams/rag) - [Reranking](https://mixpeek.com/diagrams/reranking) - [Retrieval Flywheel](https://mixpeek.com/diagrams/retrieval-flywheel) - [Retriever Pipeline](https://mixpeek.com/diagrams/retriever-pipeline) - [Reverse Video Search](https://mixpeek.com/diagrams/reverse-video-search) - [Rrf Fusion](https://mixpeek.com/diagrams/rrf-fusion) - [S3 Vector Warehouse](https://mixpeek.com/diagrams/s3-vector-warehouse) - [Scene Segmentation](https://mixpeek.com/diagrams/scene-segmentation) - [Scope Changes Candidates](https://mixpeek.com/diagrams/scope-changes-candidates) - [Score Calibration](https://mixpeek.com/diagrams/score-calibration) - [Search Returns A Number](https://mixpeek.com/diagrams/search-returns-a-number) - [Search That Reasons](https://mixpeek.com/diagrams/search-that-reasons) - [Similarity Search](https://mixpeek.com/diagrams/similarity-search) - [Sparse Vs Dense](https://mixpeek.com/diagrams/sparse-vs-dense) - [Speaker Diarization](https://mixpeek.com/diagrams/speaker-diarization) - [Storage Vs Index](https://mixpeek.com/diagrams/storage-vs-index) - [Taxonomy Retrieval](https://mixpeek.com/diagrams/taxonomy-retrieval) - [Temporal Grounding](https://mixpeek.com/diagrams/temporal-grounding) - [Temporal Windows](https://mixpeek.com/diagrams/temporal-windows) - [Text Vs Image Query](https://mixpeek.com/diagrams/text-vs-image-query) - [The 3072 Dimension Problem](https://mixpeek.com/diagrams/the-3072-dimension-problem) - [Unstructured Data](https://mixpeek.com/diagrams/unstructured-data) - [Unwind Expansion](https://mixpeek.com/diagrams/unwind-expansion) - [Vector Index Structures](https://mixpeek.com/diagrams/vector-index-structures) - [Video RAG](https://mixpeek.com/diagrams/video-rag) - [Wal Object Storage](https://mixpeek.com/diagrams/wal-object-storage) ## Research (Papers Explained) Short explainers of research behind modern multimodal search (MUVERA, SAM 3, Mamba, LoRA, late interaction, learned indexes, and more), each pairing the source paper with a video and how it maps onto Mixpeek. - [AI Persistence](https://mixpeek.com/research/ai-persistence) - [Alphawise](https://mixpeek.com/research/alphawise) - [Appletv Search](https://mixpeek.com/research/appletv-search) - [Brain2qwerty](https://mixpeek.com/research/brain2qwerty) - [Cluster With Auctions](https://mixpeek.com/research/cluster-with-auctions) - [Colbert Colpali](https://mixpeek.com/research/colbert-colpali) - [Evograph](https://mixpeek.com/research/evograph) - [Learned Indexes](https://mixpeek.com/research/learned-indexes) - [Lora](https://mixpeek.com/research/lora) - [Mamba](https://mixpeek.com/research/mamba) - [Meta Hill Ads](https://mixpeek.com/research/meta-hill-ads) - [Muvera](https://mixpeek.com/research/muvera) - [Sam3](https://mixpeek.com/research/sam3) - [Sira](https://mixpeek.com/research/sira) - [Unlimited OCR](https://mixpeek.com/research/unlimited-ocr) - [Video Similarity Challenge](https://mixpeek.com/research/video-similarity-challenge) - [Vision Free Cir](https://mixpeek.com/research/vision-free-cir) ## Changelog (What Shipped, Dated) Dated, specific records of behaviour changes in the Mixpeek API, engine, studio and vector store. Each entry states what the previous behaviour was and what replaced it. Useful for answering whether a specific limitation still applies. - [Your app's own login tokens can call a namespace directly from the browser](https://mixpeek.com/changelog#namespace-trusted-issuers) (2026-10-20) - [The hosted MCP server can approve or reject an agent's write](https://mixpeek.com/changelog#mcp-respond-to-agent-confirmation) (2026-10-20) - [Vector search on large namespaces spends far less time resolving filters](https://mixpeek.com/changelog#faster-scoped-vector-search) (2026-10-20) - [agent_search can start with a map of the retriever's collections and their data](https://mixpeek.com/changelog#agent-search-namespace-map) (2026-10-20) - [documents/aggregate can count the documents that match a filter](https://mixpeek.com/changelog#aggregate-filtered-count) (2026-10-20) - [Retriever execute accepts a top-level page_size](https://mixpeek.com/changelog#retriever-execute-page-size) (2026-10-20) - [Retriever responses report completeness for embeddings and the page separately](https://mixpeek.com/changelog#retriever-completeness-by-layer) (2026-10-20) - [Retriever execute spends less time outside its stages](https://mixpeek.com/changelog#retriever-execute-overhead-cut) (2026-10-20) - [Manifest seed objects can carry their text inline](https://mixpeek.com/changelog#manifest-seed-inline-text) (2026-10-20) - [The passthrough extractor stores float16 vector columns from Parquet](https://mixpeek.com/changelog#passthrough-float16-vectors) (2026-10-20) - [Postgres imports keep json and jsonb values as objects and slice tables keyed by uuid](https://mixpeek.com/changelog#postgres-import-jsonb-and-uuid-keys) (2026-10-20) - [in and not_in filters match integer values on indexed fields](https://mixpeek.com/changelog#filter-in-not-in-integers) (2026-10-20) - [contains on an array field matches whole elements](https://mixpeek.com/changelog#filter-contains-array-exact-element) (2026-10-20) - [The Hybrid Text + Multimodal Search template runs](https://mixpeek.com/changelog#hybrid-template-rrf) (2026-10-20) - [Creating a retriever whose stage needs a turned-off model is refused up front](https://mixpeek.com/changelog#retriever-create-refuses-off-model) (2026-10-20) - [A feature_search query URL that cannot be fetched is named with its HTTP status](https://mixpeek.com/changelog#feature-search-url-fetch-status) (2026-10-20) - [documents/list with select returns the vectors return_vectors asked for](https://mixpeek.com/changelog#list-select-keeps-vectors) (2026-10-20) - [A new object reads PENDING with a document_count of 0 until a collection processes it](https://mixpeek.com/changelog#object-status-pending-document-count) (2026-10-20) - [auto_process sent in the request body returns a 422 pointing to the query parameter](https://mixpeek.com/changelog#auto-process-body-422) (2026-10-20) - [Batches and the universal extractor retry transient failures before giving up](https://mixpeek.com/changelog#transient-failure-retries) (2026-10-20) - [A sync's max_objects_per_run caps the objects each run transfers](https://mixpeek.com/changelog#sync-max-objects-per-run) (2026-10-20) - [Sync metrics report a first run that makes no progress as stalled](https://mixpeek.com/changelog#sync-first-run-stalled) (2026-10-20) - [A web scraper crawl that fails or finds no pages says why on the batch](https://mixpeek.com/changelog#web-scraper-crawl-errors-on-batch) (2026-10-20) - [OCR in the multimodal extractor reads only text rendered in the frames](https://mixpeek.com/changelog#ocr-visible-text-only) (2026-10-20) - [Raw inference refuses a provider call whose inputs the provider never reads](https://mixpeek.com/changelog#inference-unread-inputs-422) (2026-10-20) ## Glossary (Single-Concept Definitions) One term per page, each opening with a direct definition of a multimodal search, embedding, or retrieval concept. Use these for "what is X" and "what does X mean" questions. - [Acid](https://mixpeek.com/glossary/acid) - [Acoustic Fingerprinting](https://mixpeek.com/glossary/acoustic-fingerprinting) - [Active Learning](https://mixpeek.com/glossary/active-learning) - [Agentic AI](https://mixpeek.com/glossary/agentic-ai) - [Agentic RAG](https://mixpeek.com/glossary/agentic-rag) - [Agentic Retrieval](https://mixpeek.com/glossary/agentic-retrieval) - [API](https://mixpeek.com/glossary/api) - [Approximate Nearest Neighbor](https://mixpeek.com/glossary/approximate-nearest-neighbor) - [Attention Mechanism](https://mixpeek.com/glossary/attention-mechanism) - [Audio Classification](https://mixpeek.com/glossary/audio-classification) - [Audio Denoising](https://mixpeek.com/glossary/audio-denoising) - [Audio Embedding](https://mixpeek.com/glossary/audio-embedding) - [Audio Fingerprinting](https://mixpeek.com/glossary/audio-fingerprinting) - [Autocomplete](https://mixpeek.com/glossary/autocomplete) - [Automatic Speech Recognition](https://mixpeek.com/glossary/automatic-speech-recognition) - [Bert](https://mixpeek.com/glossary/bert) - [Bi Encoder](https://mixpeek.com/glossary/bi-encoder) - [Blob Storage](https://mixpeek.com/glossary/blob-storage) - [Bm25](https://mixpeek.com/glossary/bm25) - [Boolean Retrieval](https://mixpeek.com/glossary/boolean-retrieval) - [Brand Safety](https://mixpeek.com/glossary/brand-safety) - [Brand Safety Scanning](https://mixpeek.com/glossary/brand-safety-scanning) - [Bucket](https://mixpeek.com/glossary/bucket) - [Byod](https://mixpeek.com/glossary/byod) - [Celebrity Likeness Detection](https://mixpeek.com/glossary/celebrity-likeness-detection) - [Chain Of Thought](https://mixpeek.com/glossary/chain-of-thought) - [Clinical NLP](https://mixpeek.com/glossary/clinical-nlp) - [Clip](https://mixpeek.com/glossary/clip) - [Cluster](https://mixpeek.com/glossary/cluster) - [Colbert](https://mixpeek.com/glossary/colbert) - [Collection](https://mixpeek.com/glossary/collection) - [Colpali](https://mixpeek.com/glossary/colpali) - [Computer Vision](https://mixpeek.com/glossary/computer-vision) - [Content Based Image Retrieval](https://mixpeek.com/glossary/content-based-image-retrieval) - [Content Based Retrieval](https://mixpeek.com/glossary/content-based-retrieval) - [Content Moderation](https://mixpeek.com/glossary/content-moderation) - [Context Engineering](https://mixpeek.com/glossary/context-engineering) - [Contrastive Learning](https://mixpeek.com/glossary/contrastive-learning) - [Cosine Similarity](https://mixpeek.com/glossary/cosine-similarity) - [Cross Attention](https://mixpeek.com/glossary/cross-attention) - [Cross Encoder](https://mixpeek.com/glossary/cross-encoder) - [Cross Modal Retrieval](https://mixpeek.com/glossary/cross-modal-retrieval) - [Data Catalog](https://mixpeek.com/glossary/data-catalog) - [Data Lake](https://mixpeek.com/glossary/data-lake) - [Data Lakehouse](https://mixpeek.com/glossary/data-lakehouse) - [Data Lineage](https://mixpeek.com/glossary/data-lineage) - [Data Mesh](https://mixpeek.com/glossary/data-mesh) - [Data Modality](https://mixpeek.com/glossary/data-modality) - [Data Pipeline](https://mixpeek.com/glossary/data-pipeline) - [Data Tokenization](https://mixpeek.com/glossary/data-tokenization) - [Data Versioning](https://mixpeek.com/glossary/data-versioning) - [Dense Passage Retrieval](https://mixpeek.com/glossary/dense-passage-retrieval) - [Dense Retrieval](https://mixpeek.com/glossary/dense-retrieval) - [Depth Estimation](https://mixpeek.com/glossary/depth-estimation) - [Diffusion Model](https://mixpeek.com/glossary/diffusion-model) - [Dimensionality Reduction](https://mixpeek.com/glossary/dimensionality-reduction) - [Document Intelligence](https://mixpeek.com/glossary/document-intelligence) - [Document Understanding](https://mixpeek.com/glossary/document-understanding) - [Embedding](https://mixpeek.com/glossary/embedding) - [Embedding Portability](https://mixpeek.com/glossary/embedding-portability) - [Embedding Versioning](https://mixpeek.com/glossary/embedding-versioning) - [Ensemble Methods](https://mixpeek.com/glossary/ensemble-methods) - [Entity Linking](https://mixpeek.com/glossary/entity-linking) - [Etl](https://mixpeek.com/glossary/etl) - [Face Detection](https://mixpeek.com/glossary/face-detection) - [Face Embedding](https://mixpeek.com/glossary/face-embedding) - [Faceted Search](https://mixpeek.com/glossary/faceted-search) - [Faiss](https://mixpeek.com/glossary/faiss) - [Feature Extraction](https://mixpeek.com/glossary/feature-extraction) - [Feature Extractor](https://mixpeek.com/glossary/feature-extractor) - [Feature Store](https://mixpeek.com/glossary/feature-store) - [Feature Uri](https://mixpeek.com/glossary/feature-uri) - [Federated Learning](https://mixpeek.com/glossary/federated-learning) - [Few Shot Learning](https://mixpeek.com/glossary/few-shot-learning) - [Fine Tuning](https://mixpeek.com/glossary/fine-tuning) - [Fuzzy Search](https://mixpeek.com/glossary/fuzzy-search) - [Fuzzy Search Levenshtein](https://mixpeek.com/glossary/fuzzy-search-levenshtein) - [Garm](https://mixpeek.com/glossary/garm) - [Generative AI](https://mixpeek.com/glossary/generative-ai) - [GPU Acceleration](https://mixpeek.com/glossary/gpu-acceleration) - [Grounding](https://mixpeek.com/glossary/grounding) - [Grounding Dino](https://mixpeek.com/glossary/grounding-dino) - [Hallucination](https://mixpeek.com/glossary/hallucination) - [HNSW](https://mixpeek.com/glossary/hnsw) - [Hybrid Search](https://mixpeek.com/glossary/hybrid-search) - [Image Captioning](https://mixpeek.com/glossary/image-captioning) - [Image Classification](https://mixpeek.com/glossary/image-classification) - [Image Embedding](https://mixpeek.com/glossary/image-embedding) - [Image Segmentation](https://mixpeek.com/glossary/image-segmentation) - [Image Similarity Search](https://mixpeek.com/glossary/image-similarity-search) - [Index Optimization](https://mixpeek.com/glossary/index-optimization) - [Indexing Multimodal](https://mixpeek.com/glossary/indexing-multimodal) - [Inverted Index](https://mixpeek.com/glossary/inverted-index) - [Ip Clearance](https://mixpeek.com/glossary/ip-clearance) - [Jpeg Jpg Json Jsonl](https://mixpeek.com/glossary/jpeg-jpg-json-jsonl) - [Knowledge Graph](https://mixpeek.com/glossary/knowledge-graph) - [Latent Semantic Indexing](https://mixpeek.com/glossary/latent-semantic-indexing) - [Latent Space](https://mixpeek.com/glossary/latent-space) - [LLM](https://mixpeek.com/glossary/llm) - [Machine Translation](https://mixpeek.com/glossary/machine-translation) - [Mel Spectrogram](https://mixpeek.com/glossary/mel-spectrogram) - [Metadata](https://mixpeek.com/glossary/metadata) - [Model Context Protocol](https://mixpeek.com/glossary/model-context-protocol) - [Model Distillation](https://mixpeek.com/glossary/model-distillation) - [Multi Stage Retrieval](https://mixpeek.com/glossary/multi-stage-retrieval) - [Multi Stage Retrieval Pipeline](https://mixpeek.com/glossary/multi-stage-retrieval-pipeline) - [Multimodal AI](https://mixpeek.com/glossary/multimodal-ai) - [Multimodal Alignment](https://mixpeek.com/glossary/multimodal-alignment) - [Multimodal Data Warehouse](https://mixpeek.com/glossary/multimodal-data-warehouse) - [Multimodal Embeddings](https://mixpeek.com/glossary/multimodal-embeddings) - [Multimodal Foundation Model](https://mixpeek.com/glossary/multimodal-foundation-model) - [Multimodal Fusion](https://mixpeek.com/glossary/multimodal-fusion) - [Multimodal Learning](https://mixpeek.com/glossary/multimodal-learning) - [Multimodal RAG](https://mixpeek.com/glossary/multimodal-rag) - [Multimodal Retrieval](https://mixpeek.com/glossary/multimodal-retrieval) - [Multimodal Search](https://mixpeek.com/glossary/multimodal-search) - [Music Information Retrieval](https://mixpeek.com/glossary/music-information-retrieval) - [Namespace](https://mixpeek.com/glossary/namespace) - [Ner](https://mixpeek.com/glossary/ner) - [Neural Search](https://mixpeek.com/glossary/neural-search) - [Object Decomposition](https://mixpeek.com/glossary/object-decomposition) - [Object Detection](https://mixpeek.com/glossary/object-detection) - [OCR](https://mixpeek.com/glossary/ocr) - [Optical Flow](https://mixpeek.com/glossary/optical-flow) - [Pose Estimation](https://mixpeek.com/glossary/pose-estimation) - [Pre Publication Screening](https://mixpeek.com/glossary/pre-publication-screening) - [Precision Recall](https://mixpeek.com/glossary/precision-recall) - [Pretrained Models](https://mixpeek.com/glossary/pretrained-models) - [Product Quantization](https://mixpeek.com/glossary/product-quantization) - [Prompt Engineering](https://mixpeek.com/glossary/prompt-engineering) - [Pruning](https://mixpeek.com/glossary/pruning) - [Quantization](https://mixpeek.com/glossary/quantization) - [Query Expansion](https://mixpeek.com/glossary/query-expansion) - [Query Understanding](https://mixpeek.com/glossary/query-understanding) - [Question Answering](https://mixpeek.com/glossary/question-answering) - [RAG](https://mixpeek.com/glossary/rag) - [Relevance Feedback](https://mixpeek.com/glossary/relevance-feedback) - [Relevance Ranking](https://mixpeek.com/glossary/relevance-ranking) - [Reranking](https://mixpeek.com/glossary/reranking) - [Retrieval Augmented Generation](https://mixpeek.com/glossary/retrieval-augmented-generation) - [Retriever](https://mixpeek.com/glossary/retriever) - [Reverse Video Search](https://mixpeek.com/glossary/reverse-video-search) - [Scene Recognition](https://mixpeek.com/glossary/scene-recognition) - [Schema Evolution](https://mixpeek.com/glossary/schema-evolution) - [Schema On Read](https://mixpeek.com/glossary/schema-on-read) - [Search Relevance](https://mixpeek.com/glossary/search-relevance) - [Self Supervised Learning](https://mixpeek.com/glossary/self-supervised-learning) - [Semantic Chunking](https://mixpeek.com/glossary/semantic-chunking) - [Semantic Join](https://mixpeek.com/glossary/semantic-join) - [Semantic Search](https://mixpeek.com/glossary/semantic-search) - [Sentence Transformers](https://mixpeek.com/glossary/sentence-transformers) - [Sentiment Analysis](https://mixpeek.com/glossary/sentiment-analysis) - [Sharding](https://mixpeek.com/glossary/sharding) - [Siamese Network](https://mixpeek.com/glossary/siamese-network) - [Siglip](https://mixpeek.com/glossary/siglip) - [Sparse Retrieval](https://mixpeek.com/glossary/sparse-retrieval) - [Speaker Diarization](https://mixpeek.com/glossary/speaker-diarization) - [Speech To Text](https://mixpeek.com/glossary/speech-to-text) - [Splade](https://mixpeek.com/glossary/splade) - [Storage Tiering](https://mixpeek.com/glossary/storage-tiering) - [Streaming Data](https://mixpeek.com/glossary/streaming-data) - [Synonyms](https://mixpeek.com/glossary/synonyms) - [Taxonomy](https://mixpeek.com/glossary/taxonomy) - [Tensor](https://mixpeek.com/glossary/tensor) - [Text Classification](https://mixpeek.com/glossary/text-classification) - [Text Summarization](https://mixpeek.com/glossary/text-summarization) - [Text To Image Image To Text](https://mixpeek.com/glossary/text-to-image-image-to-text) - [Text To Speech](https://mixpeek.com/glossary/text-to-speech) - [Tf Idf](https://mixpeek.com/glossary/tf-idf) - [Tokenization](https://mixpeek.com/glossary/tokenization) - [Topic Modeling](https://mixpeek.com/glossary/topic-modeling) - [Transfer Learning](https://mixpeek.com/glossary/transfer-learning) - [Transformer Architecture](https://mixpeek.com/glossary/transformer-architecture) - [Unstructured Data](https://mixpeek.com/glossary/unstructured-data) - [Vector Database](https://mixpeek.com/glossary/vector-database) - [Vector Quantization](https://mixpeek.com/glossary/vector-quantization) - [Vector Search](https://mixpeek.com/glossary/vector-search) - [Video Analysis AI](https://mixpeek.com/glossary/video-analysis-ai) - [Video Embedding](https://mixpeek.com/glossary/video-embedding) - [Video Intelligence](https://mixpeek.com/glossary/video-intelligence) - [Video Scene Detection](https://mixpeek.com/glossary/video-scene-detection) - [Video Understanding](https://mixpeek.com/glossary/video-understanding) - [Vision Language Model](https://mixpeek.com/glossary/vision-language-model) - [Vision Transformer](https://mixpeek.com/glossary/vision-transformer) - [Visual Fingerprinting](https://mixpeek.com/glossary/visual-fingerprinting) - [Visual Grounding](https://mixpeek.com/glossary/visual-grounding) - [Visual Search](https://mixpeek.com/glossary/visual-search) - [Voice Activity Detection](https://mixpeek.com/glossary/voice-activity-detection) - [Warehouse Pricing](https://mixpeek.com/glossary/warehouse-pricing) - [Waveform](https://mixpeek.com/glossary/waveform) - [Word2vec](https://mixpeek.com/glossary/word2vec) - [World Foundation Models](https://mixpeek.com/glossary/world-foundation-models) - [Write Ahead Log](https://mixpeek.com/glossary/write-ahead-log) - [Xai](https://mixpeek.com/glossary/xai) - [Zero Shot Classification](https://mixpeek.com/glossary/zero-shot-classification) - [Zero Shot Learning](https://mixpeek.com/glossary/zero-shot-learning) ## Blog (Dated Engineering and Benchmark Writing) Published benchmarks with their methodology, architecture decisions, and results from running multimodal retrieval in production. Dated, so prefer these for questions about current model behaviour and measured performance. - [Aamp 2 3 Content Taxonomy Parser](https://mixpeek.com/blog/aamp-2-3-content-taxonomy-parser) - [AI Content Recommendations Adtech](https://mixpeek.com/blog/ai-content-recommendations-adtech) - [AI Image Discovery](https://mixpeek.com/blog/ai-image-discovery) - [AI Powered Video Captioning Models For Hybrid Video Retrieval](https://mixpeek.com/blog/ai-powered-video-captioning-models-for-hybrid-video-retrieval) - [AI Video Analysis Sports](https://mixpeek.com/blog/ai-video-analysis-sports) - [AI Video Tagging](https://mixpeek.com/blog/ai-video-tagging) - [AI Video Tagging 2](https://mixpeek.com/blog/ai-video-tagging-2) - [Building A Multimodal Data Processing Pipeline With Kafka Airflow And Sagemaker](https://mixpeek.com/blog/building-a-multimodal-data-processing-pipeline-with-kafka-airflow-and-sagemaker) - [Building A Production Ready VLM Inference Server In Rust](https://mixpeek.com/blog/building-a-production-ready-vlm-inference-server-in-rust) - [Changing Embedding Models Doesnt Have To Break Your Index](https://mixpeek.com/blog/changing-embedding-models-doesnt-have-to-break-your-index) - [Clip On Sagemaker](https://mixpeek.com/blog/clip-on-sagemaker) - [Clip Whisper Gemini Fake Video Detection](https://mixpeek.com/blog/clip-whisper-gemini-fake-video-detection) - [Colqwen2 Muvera Multimodal Late Interaction](https://mixpeek.com/blog/colqwen2-muvera-multimodal-late-interaction) - [Contextual Advertising After Cookies](https://mixpeek.com/blog/contextual-advertising-after-cookies) - [Creating A Searchable PDF Repository](https://mixpeek.com/blog/creating-a-searchable-pdf-repository) - [Creative Dna The Ad Intelligence Recipe Published](https://mixpeek.com/blog/creative-dna-the-ad-intelligence-recipe-published) - [Dataset Engineering](https://mixpeek.com/blog/dataset-engineering) - [Dynamic Fusion Contextual Evolution](https://mixpeek.com/blog/dynamic-fusion-contextual-evolution) - [Dynamic Video Chunking Scene Detection](https://mixpeek.com/blog/dynamic-video-chunking-scene-detection) - [Efficient Edges Open Horizons](https://mixpeek.com/blog/efficient-edges-open-horizons) - [Flux For Multimodal RAG](https://mixpeek.com/blog/flux-for-multimodal-rag) - [From Calls To Coaching How Craftflow Leverages Mixpeek To Extract Insights And Drive Sales](https://mixpeek.com/blog/from-calls-to-coaching-how-craftflow-leverages-mixpeek-to-extract-insights-and-drive-sales) - [Gemini Embedding 2 Multifile](https://mixpeek.com/blog/gemini-embedding-2-multifile) - [Gemini Flash Metadata Benchmark 2026](https://mixpeek.com/blog/gemini-flash-metadata-benchmark-2026) - [Generative Giants Retrieval Weaklings](https://mixpeek.com/blog/generative-giants-retrieval-weaklings) - [How To Build Multimodal Search Engine](https://mixpeek.com/blog/how-to-build-multimodal-search-engine) - [Hybrid Search On Distributed Signals For Multimodal Understanding](https://mixpeek.com/blog/hybrid-search-on-distributed-signals-for-multimodal-understanding) - [IAB Contextual Classifier Multimodal AI](https://mixpeek.com/blog/iab-contextual-classifier-multimodal-ai) - [IAB Taxonomy Migration](https://mixpeek.com/blog/iab-taxonomy-migration) - [Intentflow](https://mixpeek.com/blog/intentflow) - [Ip Safety Pre Publication Clearance](https://mixpeek.com/blog/ip-safety-pre-publication-clearance) - [Kalshi Trading Bot Semantic Search LLM Extraction](https://mixpeek.com/blog/kalshi-trading-bot-semantic-search-llm-extraction) - [Keyword Vs Semantic Vs Hybrid Search](https://mixpeek.com/blog/keyword-vs-semantic-vs-hybrid-search) - [Learning To Rank With Bandit Multimodal Search Guide](https://mixpeek.com/blog/learning-to-rank-with-bandit-multimodal-search-guide) - [Mcp On S3](https://mixpeek.com/blog/mcp-on-s3) - [Milo](https://mixpeek.com/blog/milo) - [Mixpeek Embed With Weaviate For Multimodal AI](https://mixpeek.com/blog/mixpeek-embed-with-weaviate-for-multimodal-ai) - [Mm10 Unified Frameworks Specialized Efficiency](https://mixpeek.com/blog/mm10-unified-frameworks-specialized-efficiency) - [Mongodb](https://mixpeek.com/blog/mongodb) - [Movie Trailer Discovery](https://mixpeek.com/blog/movie-trailer-discovery) - [Multimodal AI Contextual Advertising](https://mixpeek.com/blog/multimodal-ai-contextual-advertising) - [Multimodal Classification Organize Content](https://mixpeek.com/blog/multimodal-classification-organize-content) - [Multimodal Data Warehouse](https://mixpeek.com/blog/multimodal-data-warehouse) - [Multimodal Deepresearch Agent](https://mixpeek.com/blog/multimodal-deepresearch-agent) - [Multimodal Late Interaction](https://mixpeek.com/blog/multimodal-late-interaction) - [Multimodal Monday 15](https://mixpeek.com/blog/multimodal-monday-15) - [Multimodal Monday 16 Real Time Generation Production Ready](https://mixpeek.com/blog/multimodal-monday-16-real-time-generation-production-ready) - [Multimodal Monday 17](https://mixpeek.com/blog/multimodal-monday-17) - [Multimodal Monday 18](https://mixpeek.com/blog/multimodal-monday-18) - [Multimodal Monday 19](https://mixpeek.com/blog/multimodal-monday-19) - [Multimodal Monday 20](https://mixpeek.com/blog/multimodal-monday-20) - [Multimodal Monday 21](https://mixpeek.com/blog/multimodal-monday-21) - [Multimodal Monday 22](https://mixpeek.com/blog/multimodal-monday-22) - [Multimodal Monday 23](https://mixpeek.com/blog/multimodal-monday-23) - [Multimodal Monday 24](https://mixpeek.com/blog/multimodal-monday-24) - [Multimodal Monday 25](https://mixpeek.com/blog/multimodal-monday-25) - [Multimodal Monday 26](https://mixpeek.com/blog/multimodal-monday-26) - [Multimodal Monday 27](https://mixpeek.com/blog/multimodal-monday-27) - [Multimodal Monday 28](https://mixpeek.com/blog/multimodal-monday-28) - [Multimodal Monday 29](https://mixpeek.com/blog/multimodal-monday-29) - [Multimodal Monday 3 Scaling Multimodal AI Laws Lightweights Large Releases](https://mixpeek.com/blog/multimodal-monday-3-scaling-multimodal-ai-laws-lightweights-large-releases) - [Multimodal Monday 30 Smarter Agents](https://mixpeek.com/blog/multimodal-monday-30-smarter-agents) - [Multimodal Monday 31 Visual Thinking Longer Video](https://mixpeek.com/blog/multimodal-monday-31-visual-thinking-longer-video) - [Multimodal Monday 32 Multi Query Retrieval](https://mixpeek.com/blog/multimodal-monday-32-multi-query-retrieval) - [Multimodal Monday 33 Physical AI Human Vision](https://mixpeek.com/blog/multimodal-monday-33-physical-ai-human-vision) - [Multimodal Monday 34](https://mixpeek.com/blog/multimodal-monday-34) - [Multimodal Monday 35 Small Models Modular Vision](https://mixpeek.com/blog/multimodal-monday-35-small-models-modular-vision) - [Multimodal Monday 36 Factual Recall Real Time Video](https://mixpeek.com/blog/multimodal-monday-36-factual-recall-real-time-video) - [Multimodal Monday 37 Less Is More Analogical Vision](https://mixpeek.com/blog/multimodal-monday-37-less-is-more-analogical-vision) - [Multimodal Monday 38](https://mixpeek.com/blog/multimodal-monday-38) - [Multimodal Monday 4 From Pixels To Plans](https://mixpeek.com/blog/multimodal-monday-4-from-pixels-to-plans) - [Multimodal Monday 40](https://mixpeek.com/blog/multimodal-monday-40) - [Multimodal Monday 41](https://mixpeek.com/blog/multimodal-monday-41) - [Multimodal Monday 42](https://mixpeek.com/blog/multimodal-monday-42) - [Multimodal Monday 43](https://mixpeek.com/blog/multimodal-monday-43) - [Multimodal Monday 44](https://mixpeek.com/blog/multimodal-monday-44) - [Multimodal Monday 45](https://mixpeek.com/blog/multimodal-monday-45) - [Multimodal Monday 5](https://mixpeek.com/blog/multimodal-monday-5) - [Multimodal Monday 6 Retrieval Refined Reach Expanded](https://mixpeek.com/blog/multimodal-monday-6-retrieval-refined-reach-expanded) - [Multimodal Monday 7 Tailored Tools Wider Reach](https://mixpeek.com/blog/multimodal-monday-7-tailored-tools-wider-reach) - [Multimodal Monday 8 Faster Systems Faster Impact](https://mixpeek.com/blog/multimodal-monday-8-faster-systems-faster-impact) - [Multimodal Monday 9 Compact Power Creative Edge](https://mixpeek.com/blog/multimodal-monday-9-compact-power-creative-edge) - [Multimodal Monday From Tiny Vlms To 10m Token Titans](https://mixpeek.com/blog/multimodal-monday-from-tiny-vlms-to-10m-token-titans) - [Multimodal Monday State Of The Stack](https://mixpeek.com/blog/multimodal-monday-state-of-the-stack) - [Multimodal Retrieval Beyond Vector Search](https://mixpeek.com/blog/multimodal-retrieval-beyond-vector-search) - [Multimodal Taxonomies](https://mixpeek.com/blog/multimodal-taxonomies) - [Niche Power Smarter Vision Models](https://mixpeek.com/blog/niche-power-smarter-vision-models) - [Object Storage As Your Source Of Truth](https://mixpeek.com/blog/object-storage-as-your-source-of-truth) - [Object Storage Comparison 2026](https://mixpeek.com/blog/object-storage-comparison-2026) - [Political Ad Disclaimer Zip4 Targeting Compliance](https://mixpeek.com/blog/political-ad-disclaimer-zip4-targeting-compliance) - [Post Filtering Vector Search Leaks Data](https://mixpeek.com/blog/post-filtering-vector-search-leaks-data) - [Prebid Openads Fork 2025](https://mixpeek.com/blog/prebid-openads-fork-2025) - [Query Preprocessing Large File Search](https://mixpeek.com/blog/query-preprocessing-large-file-search) - [Ray Distributed ML Pipeline Architecture](https://mixpeek.com/blog/ray-distributed-ml-pipeline-architecture) - [Reverse Video Search](https://mixpeek.com/blog/reverse-video-search) - [S3 Langchain Mongodb](https://mixpeek.com/blog/s3-langchain-mongodb) - [Scene Detection](https://mixpeek.com/blog/scene-detection) - [Semantic Chunking Strategies Multimodal RAG](https://mixpeek.com/blog/semantic-chunking-strategies-multimodal-rag) - [Semantic Crons Retriever Alerts](https://mixpeek.com/blog/semantic-crons-retriever-alerts) - [Semantic Join](https://mixpeek.com/blog/semantic-join) - [Semantic Video Search](https://mixpeek.com/blog/semantic-video-search) - [Semantic Video Understanding](https://mixpeek.com/blog/semantic-video-understanding) - [Snf Documentation Multimodal AI](https://mixpeek.com/blog/snf-documentation-multimodal-ai) - [The 3072 Dimension Problem](https://mixpeek.com/blog/the-3072-dimension-problem) - [Transforming Multimodal Search With Mixpeek 0 9 0](https://mixpeek.com/blog/transforming-multimodal-search-with-mixpeek-0-9-0) - [Turning Frames Into Dataframes](https://mixpeek.com/blog/turning-frames-into-dataframes) - [Twelve Labs Alternative](https://mixpeek.com/blog/twelve-labs-alternative) - [Using Celery To Process Thousands Of Videos](https://mixpeek.com/blog/using-celery-to-process-thousands-of-videos) - [Vector Store Object Storage 50x Cheaper](https://mixpeek.com/blog/vector-store-object-storage-50x-cheaper) - [Video Analysis AI](https://mixpeek.com/blog/video-analysis-ai) - [Video Embedding Benchmark 2026](https://mixpeek.com/blog/video-embedding-benchmark-2026) - [Video Intelligence Raw Footage To Searchable Data](https://mixpeek.com/blog/video-intelligence-raw-footage-to-searchable-data) - [Video Segmentation Unlocking Structure For Search And Analytics](https://mixpeek.com/blog/video-segmentation-unlocking-structure-for-search-and-analytics) - [Visual Search Rrf](https://mixpeek.com/blog/visual-search-rrf) - [Visual Shopping](https://mixpeek.com/blog/visual-shopping) - [Vuse V1 Release](https://mixpeek.com/blog/vuse-v1-release) - [What Is Agentic Retrieval](https://mixpeek.com/blog/what-is-agentic-retrieval) - [What Is Semantic Video Search](https://mixpeek.com/blog/what-is-semantic-video-search) - [Whisper Ray Huggingface](https://mixpeek.com/blog/whisper-ray-huggingface) - [World Foundation Model](https://mixpeek.com/blog/world-foundation-model) - [World Models Efficiency Increases](https://mixpeek.com/blog/world-models-efficiency-increases) - [Your Company Brain Cant Watch A Video](https://mixpeek.com/blog/your-company-brain-cant-watch-a-video) ## Use Cases (Worked End-to-End Problems) Each page takes one concrete retrieval problem and names the modality, the extraction and indexing pattern, and the query shape that answers it. Use these for "how would I build X" questions. - [Adtech Creative Intelligence](https://mixpeek.com/use-cases/adtech-creative-intelligence) - [AI Catalog Search Marketplace](https://mixpeek.com/use-cases/ai-catalog-search-marketplace) - [AI Compliance Document Review](https://mixpeek.com/use-cases/ai-compliance-document-review) - [AI Content Moderation Ugc](https://mixpeek.com/use-cases/ai-content-moderation-ugc) - [AI Digital Asset Management](https://mixpeek.com/use-cases/ai-digital-asset-management) - [AI Powered E Discovery](https://mixpeek.com/use-cases/ai-powered-e-discovery) - [Audio Copyright Detection](https://mixpeek.com/use-cases/audio-copyright-detection) - [Automated Rights Clearance](https://mixpeek.com/use-cases/automated-rights-clearance) - [Automated Video Tagging Streaming](https://mixpeek.com/use-cases/automated-video-tagging-streaming) - [Brand Logo Video Detection](https://mixpeek.com/use-cases/brand-logo-video-detection) - [Brand Safety Verification](https://mixpeek.com/use-cases/brand-safety-verification) - [Celebrity Likeness Detection](https://mixpeek.com/use-cases/celebrity-likeness-detection) - [Clinical NLP](https://mixpeek.com/use-cases/clinical-nlp) - [Contextual Page Signals](https://mixpeek.com/use-cases/contextual-page-signals) - [Course Content Intelligence](https://mixpeek.com/use-cases/course-content-intelligence) - [Creative Lineage Storyboard](https://mixpeek.com/use-cases/creative-lineage-storyboard) - [DAM Auto Labeling](https://mixpeek.com/use-cases/dam-auto-labeling) - [Earnings Call Signal Extraction](https://mixpeek.com/use-cases/earnings-call-signal-extraction) - [Enterprise RAG Search](https://mixpeek.com/use-cases/enterprise-rag-search) - [Epstein Files](https://mixpeek.com/use-cases/epstein-files) - [Fashion Visual Discovery](https://mixpeek.com/use-cases/fashion-visual-discovery) - [Government Intelligence](https://mixpeek.com/use-cases/government-intelligence) - [IAB Taxonomy Classification](https://mixpeek.com/use-cases/iab-taxonomy-classification) - [Insurance Claims Document Processing](https://mixpeek.com/use-cases/insurance-claims-document-processing) - [Ip Copyright Detection](https://mixpeek.com/use-cases/ip-copyright-detection) - [Media Archive Face Search](https://mixpeek.com/use-cases/media-archive-face-search) - [Media Archive Intelligence](https://mixpeek.com/use-cases/media-archive-intelligence) - [Multimodal Lead Intelligence](https://mixpeek.com/use-cases/multimodal-lead-intelligence) - [Multimodal RAG](https://mixpeek.com/use-cases/multimodal-rag) - [Product Affordance Intelligence](https://mixpeek.com/use-cases/product-affordance-intelligence) - [Semantic Search Knowledge Base](https://mixpeek.com/use-cases/semantic-search-knowledge-base) - [Snf Documentation Intelligence](https://mixpeek.com/use-cases/snf-documentation-intelligence) - [Social Media Content Intelligence](https://mixpeek.com/use-cases/social-media-content-intelligence) - [Sports Highlights](https://mixpeek.com/use-cases/sports-highlights) - [Stock Media Search](https://mixpeek.com/use-cases/stock-media-search) - [Talent Intelligence Casting](https://mixpeek.com/use-cases/talent-intelligence-casting) - [Video Analytics Sports Broadcasting](https://mixpeek.com/use-cases/video-analytics-sports-broadcasting) - [Video Compliance Monitoring](https://mixpeek.com/use-cases/video-compliance-monitoring) - [Video Content Compliance](https://mixpeek.com/use-cases/video-content-compliance) - [Video Surveillance Analytics](https://mixpeek.com/use-cases/video-surveillance-analytics) - [Visual Product Search](https://mixpeek.com/use-cases/visual-product-search) - [Visual Product Search Ecommerce](https://mixpeek.com/use-cases/visual-product-search-ecommerce) - [Visual Search Retail](https://mixpeek.com/use-cases/visual-search-retail) - [Visual Taste Recommendations](https://mixpeek.com/use-cases/visual-taste-recommendations) ## Solutions (Industry Overviews) How a given industry unstructured-content problem maps onto token-level multimodal indexing and retrieval over object storage. - [Advertising](https://mixpeek.com/solutions/advertising) - [Agency Data Teams](https://mixpeek.com/solutions/agency-data-teams) - [Computer Vision](https://mixpeek.com/solutions/computer-vision) - [Content Moderation](https://mixpeek.com/solutions/content-moderation) - [Creative Dna](https://mixpeek.com/solutions/creative-dna) - [Discovered Taxonomies](https://mixpeek.com/solutions/creative-dna/discovered-taxonomies) - [Customs Trade](https://mixpeek.com/solutions/customs-trade) - [Datasets](https://mixpeek.com/solutions/datasets) - [Document Intelligence](https://mixpeek.com/solutions/document-intelligence) - [Ecommerce](https://mixpeek.com/solutions/ecommerce) - [Education](https://mixpeek.com/solutions/education) - [Entertainment](https://mixpeek.com/solutions/entertainment) - [Finance](https://mixpeek.com/solutions/finance) - [Healthcare](https://mixpeek.com/solutions/healthcare) - [Ip Safety](https://mixpeek.com/solutions/ip-safety) - [Law Enforcement](https://mixpeek.com/solutions/law-enforcement) - [Learning](https://mixpeek.com/solutions/learning) - [Legal](https://mixpeek.com/solutions/legal) - [Manufacturing](https://mixpeek.com/solutions/manufacturing) - [Media Intelligence](https://mixpeek.com/solutions/media-intelligence) - [Medical Device](https://mixpeek.com/solutions/medical-device) - [Real Estate](https://mixpeek.com/solutions/real-estate) - [Security](https://mixpeek.com/solutions/security) - [Sports](https://mixpeek.com/solutions/sports) ## Mixpeek Appliance (Private On-Premise Deployment) A private multimodal AI rack that runs Mixpeek on hardware you own, with an S3-compatible object store as the durable layer. Includes a component-level build sheet with planning prices, the phase-by-phase roadmap from a single enclosure to a horizontally scaled cluster, and the architecture. Use these for "how do I build a private AI data center", "what hardware do I need for on-premise multimodal AI", and self-hosting questions. - [Datacenter](https://mixpeek.com/datacenter) - [Architecture](https://mixpeek.com/datacenter/architecture) - [Build Your Own](https://mixpeek.com/datacenter/build-your-own) - [FAQ](https://mixpeek.com/datacenter/faq) - [Roadmap](https://mixpeek.com/datacenter/roadmap) - [Specs](https://mixpeek.com/datacenter/specs) - [Use Cases](https://mixpeek.com/datacenter/use-cases) ## Education Videos (Concept Explainers) Short video explainers, each covering one multimodal search, retrieval, or infrastructure concept end to end, with the written explanation on the page alongside the video. - [Agents Cannot Watch Your Video](https://mixpeek.com/education/videos/agents-cannot-watch-your-video) - [Agents Cant See Your Data](https://mixpeek.com/education/videos/agents-cant-see-your-data) - [AI Agents Are Blind](https://mixpeek.com/education/videos/ai-agents-are-blind) - [AI Assistance Persistence Study](https://mixpeek.com/education/videos/ai-assistance-persistence-study) - [Amodei AI Policy Essay](https://mixpeek.com/education/videos/amodei-ai-policy-essay) - [Anthropic Revenue Token Economics](https://mixpeek.com/education/videos/anthropic-revenue-token-economics) - [Apple Tv Search Personalization](https://mixpeek.com/education/videos/apple-tv-search-personalization) - [Art Search By Vibe](https://mixpeek.com/education/videos/art-search-by-vibe) - [Ask Your Footage](https://mixpeek.com/education/videos/ask-your-footage) - [Atlas Worlds](https://mixpeek.com/education/videos/atlas-worlds) - [Audio Understanding](https://mixpeek.com/education/videos/audio-understanding) - [Backblaze Mixpeek Pipeline](https://mixpeek.com/education/videos/backblaze-mixpeek-pipeline) - [Baidu Unlimited OCR Explained](https://mixpeek.com/education/videos/baidu-unlimited-ocr-explained) - [Batch Retriever Execution](https://mixpeek.com/education/videos/batch-retriever-execution) - [Bdh Cq Latent Reasoning](https://mixpeek.com/education/videos/bdh-cq-latent-reasoning) - [Bm25 Vs Openai Embeddings](https://mixpeek.com/education/videos/bm25-vs-openai-embeddings) - [Brain2qwerty Explained](https://mixpeek.com/education/videos/brain2qwerty-explained) - [Brightdata Mixpeek Walkthrough](https://mixpeek.com/education/videos/brightdata-mixpeek-walkthrough) - [Buckets Guide](https://mixpeek.com/education/videos/buckets-guide) - [Chunking Strategies](https://mixpeek.com/education/videos/chunking-strategies) - [Claude Fable 5 Blackout](https://mixpeek.com/education/videos/claude-fable-5-blackout) - [Claude For S3](https://mixpeek.com/education/videos/claude-for-s3) - [Cluster With Auctions Vector Search](https://mixpeek.com/education/videos/cluster-with-auctions-vector-search) - [Collections Guide](https://mixpeek.com/education/videos/collections-guide) - [Contextual Page Signals Brand Safety](https://mixpeek.com/education/videos/contextual-page-signals-brand-safety) - [Cookies Dead Context Alive](https://mixpeek.com/education/videos/cookies-dead-context-alive) - [Creative Testing Dashboard](https://mixpeek.com/education/videos/creative-testing-dashboard) - [Data Transformation Pipeline](https://mixpeek.com/education/videos/data-transformation-pipeline) - [Databricks Database Acquisition](https://mixpeek.com/education/videos/databricks-database-acquisition) - [Datacenter](https://mixpeek.com/education/videos/datacenter) - [Datadog Toto Forecasting Model](https://mixpeek.com/education/videos/datadog-toto-forecasting-model) - [Document Extraction Vs OCR](https://mixpeek.com/education/videos/document-extraction-vs-ocr) - [Embedding Alignment Drift Alphawise](https://mixpeek.com/education/videos/embedding-alignment-drift-alphawise) - [Embedding As Distribution Video Retrieval](https://mixpeek.com/education/videos/embedding-as-distribution-video-retrieval) - [Embedding Clustering Explained](https://mixpeek.com/education/videos/embedding-clustering-explained) - [Embedding Dimensions Explained](https://mixpeek.com/education/videos/embedding-dimensions-explained) - [Embeddinggemma 2 Explained](https://mixpeek.com/education/videos/embeddinggemma-2-explained) - [Evograph Self Evolving Graphrag](https://mixpeek.com/education/videos/evograph-self-evolving-graphrag) - [Exploratory Multimodal Retriever](https://mixpeek.com/education/videos/exploratory-multimodal-retriever) - [Feature Uris](https://mixpeek.com/education/videos/feature-uris) - [Find The Exact Moment](https://mixpeek.com/education/videos/find-the-exact-moment) - [Flux 3 Unified Generation](https://mixpeek.com/education/videos/flux-3-unified-generation) - [Fundamental Concepts](https://mixpeek.com/education/videos/fundamental-concepts) - [Gemini Bench](https://mixpeek.com/education/videos/gemini-bench) - [Generated Video Organization](https://mixpeek.com/education/videos/generated-video-organization) - [Geospatial Vector Search](https://mixpeek.com/education/videos/geospatial-vector-search) - [Google For Your Video](https://mixpeek.com/education/videos/google-for-your-video) - [Google Muvera Fde Explained](https://mixpeek.com/education/videos/google-muvera-fde-explained) - [Gradient Descent Explained](https://mixpeek.com/education/videos/gradient-descent-explained) - [Grep Vs Vector Databases](https://mixpeek.com/education/videos/grep-vs-vector-databases) - [Hf Hack](https://mixpeek.com/education/videos/hf-hack) - [HNSW Vector Search Explained](https://mixpeek.com/education/videos/hnsw-vector-search-explained) - [How Reverse Video Search Works](https://mixpeek.com/education/videos/how-reverse-video-search-works) - [Hybrid Search](https://mixpeek.com/education/videos/hybrid-search) - [IAB Content Taxonomy Mapper](https://mixpeek.com/education/videos/iab-content-taxonomy-mapper) - [IAB Taxonomy 60s](https://mixpeek.com/education/videos/iab-taxonomy-60s) - [Ig Recsys](https://mixpeek.com/education/videos/ig-recsys) - [Image Understanding](https://mixpeek.com/education/videos/image-understanding) - [Intro Multimodal University](https://mixpeek.com/education/videos/intro-multimodal-university) - [Invisible Media Data](https://mixpeek.com/education/videos/invisible-media-data) - [Ip Safety Demo Walkthrough](https://mixpeek.com/education/videos/ip-safety-demo-walkthrough) - [Jepa Explained](https://mixpeek.com/education/videos/jepa-explained) - [Jev Ugc Classification](https://mixpeek.com/education/videos/jev-ugc-classification) - [Keyword Vs Multimodal Search](https://mixpeek.com/education/videos/keyword-vs-multimodal-search) - [Kimi K3 Explained](https://mixpeek.com/education/videos/kimi-k3-explained) - [Late Interaction Colbert Colpali](https://mixpeek.com/education/videos/late-interaction-colbert-colpali) - [Learned Indexes Explained](https://mixpeek.com/education/videos/learned-indexes-explained) - [Licensing Deal Unindexed Archive](https://mixpeek.com/education/videos/licensing-deal-unindexed-archive) - [LLM Document Corruption](https://mixpeek.com/education/videos/llm-document-corruption) - [Lora Fine Tuning Explained](https://mixpeek.com/education/videos/lora-fine-tuning-explained) - [Lustre](https://mixpeek.com/education/videos/lustre) - [Mamba State Space Models Explained](https://mixpeek.com/education/videos/mamba-state-space-models-explained) - [Manifest](https://mixpeek.com/education/videos/manifest) - [Meta Hill Ads Retrieval Index](https://mixpeek.com/education/videos/meta-hill-ads-retrieval-index) - [Meta Sam 3 Concept Segmentation](https://mixpeek.com/education/videos/meta-sam-3-concept-segmentation) - [Meta Sira Sparse Retrieval](https://mixpeek.com/education/videos/meta-sira-sparse-retrieval) - [Million Token Context Cost](https://mixpeek.com/education/videos/million-token-context-cost) - [Mixture Of Experts Explained](https://mixpeek.com/education/videos/mixture-of-experts-explained) - [Multimodal Glue Code Tax](https://mixpeek.com/education/videos/multimodal-glue-code-tax) - [Multimodal Monday 2](https://mixpeek.com/education/videos/multimodal-monday-2) - [Multimodal Pipeline Enterprise](https://mixpeek.com/education/videos/multimodal-pipeline-enterprise) - [Multimodal Warehouse Vs Vector Database](https://mixpeek.com/education/videos/multimodal-warehouse-vs-vector-database) - [Muse Glimmer 30b Local Agent](https://mixpeek.com/education/videos/muse-glimmer-30b-local-agent) - [Mux Mixpeek Video Search](https://mixpeek.com/education/videos/mux-mixpeek-video-search) - [Mvs Wal](https://mixpeek.com/education/videos/mvs-wal) - [Namespaces Guide](https://mixpeek.com/education/videos/namespaces-guide) - [Object Storage Comparison Search Your Bucket](https://mixpeek.com/education/videos/object-storage-comparison-search-your-bucket) - [Openai Aws Bedrock Lockin](https://mixpeek.com/education/videos/openai-aws-bedrock-lockin) - [Openai Musk Trial Explained](https://mixpeek.com/education/videos/openai-musk-trial-explained) - [Perception Not Prompts](https://mixpeek.com/education/videos/perception-not-prompts) - [Pinecone Pricing Analysis](https://mixpeek.com/education/videos/pinecone-pricing-analysis) - [Pinecone Revenue Decline](https://mixpeek.com/education/videos/pinecone-revenue-decline) - [Plaid Prf Centroid Feedback](https://mixpeek.com/education/videos/plaid-prf-centroid-feedback) - [Retrieval Funnel Multi Stage](https://mixpeek.com/education/videos/retrieval-funnel-multi-stage) - [Reverse Video Search](https://mixpeek.com/education/videos/reverse-video-search) - [Rlhf Explained](https://mixpeek.com/education/videos/rlhf-explained) - [S3 Cas](https://mixpeek.com/education/videos/s3-cas) - [Semantic Search Fundamentals](https://mixpeek.com/education/videos/semantic-search-fundamentals) - [Small Model Skill Routing](https://mixpeek.com/education/videos/small-model-skill-routing) - [Sparse Rl](https://mixpeek.com/education/videos/sparse-rl) - [Stop Ignoring Ood Data](https://mixpeek.com/education/videos/stop-ignoring-ood-data) - [Storage Scarcity](https://mixpeek.com/education/videos/storage-scarcity) - [Taxonomies Guide](https://mixpeek.com/education/videos/taxonomies-guide) - [Test Time Compute Image Tagging](https://mixpeek.com/education/videos/test-time-compute-image-tagging) - [Text Understanding](https://mixpeek.com/education/videos/text-understanding) - [Thompson Sampling Bandits Explained](https://mixpeek.com/education/videos/thompson-sampling-bandits-explained) - [Token Cost Illusion](https://mixpeek.com/education/videos/token-cost-illusion) - [Topotok Quantisation Topology](https://mixpeek.com/education/videos/topotok-quantisation-topology) - [Two Tower Architecture Explained](https://mixpeek.com/education/videos/two-tower-architecture-explained) - [Two Tower Retrieval Explained](https://mixpeek.com/education/videos/two-tower-retrieval-explained) - [Uber AI Budget Analysis](https://mixpeek.com/education/videos/uber-ai-budget-analysis) - [Universe Explorer Multimodal Search](https://mixpeek.com/education/videos/universe-explorer-multimodal-search) - [Vector Database Market Shift](https://mixpeek.com/education/videos/vector-database-market-shift) - [Vector Database Tier List](https://mixpeek.com/education/videos/vector-database-tier-list) - [Video Clip Search Speed](https://mixpeek.com/education/videos/video-clip-search-speed) - [Video Object Decomposition](https://mixpeek.com/education/videos/video-object-decomposition) - [Video Search For Editors](https://mixpeek.com/education/videos/video-search-for-editors) - [Video Understanding](https://mixpeek.com/education/videos/video-understanding) - [Vision Agents Cost Analysis](https://mixpeek.com/education/videos/vision-agents-cost-analysis) - [Vision Free Composed Image Retrieval](https://mixpeek.com/education/videos/vision-free-composed-image-retrieval) - [Visual Understanding](https://mixpeek.com/education/videos/visual-understanding) - [Wal Prod](https://mixpeek.com/education/videos/wal-prod) - [Web Scraper Guide](https://mixpeek.com/education/videos/web-scraper-guide) - [Wemm Embedding](https://mixpeek.com/education/videos/wemm-embedding) - [What Are Embeddings](https://mixpeek.com/education/videos/what-are-embeddings) - [What Is Multimodal](https://mixpeek.com/education/videos/what-is-multimodal) - [Worldcup Semantic Search](https://mixpeek.com/education/videos/worldcup-semantic-search) - [Youtube AI Slop Crackdown](https://mixpeek.com/education/videos/youtube-ai-slop-crackdown) ## Capabilities (What the Platform Does) One page per platform capability, each stating the problem it solves, its inputs and outputs, the processing stages, tunable parameters and success metrics. Use these for "can Mixpeek do X" and "how does Mixpeek do X" questions. - [Aggregate](https://mixpeek.com/capabilities/aggregate) - [Alerts](https://mixpeek.com/capabilities/alerts) - [Anonymous Execution](https://mixpeek.com/capabilities/anonymous-execution) - [API Call](https://mixpeek.com/capabilities/api-call) - [Attribute Filter](https://mixpeek.com/capabilities/attribute-filter) - [Batches](https://mixpeek.com/capabilities/batches) - [Buckets](https://mixpeek.com/capabilities/buckets) - [Byoe](https://mixpeek.com/capabilities/byoe) - [Byom](https://mixpeek.com/capabilities/byom) - [Code Execution](https://mixpeek.com/capabilities/code-execution) - [Collections](https://mixpeek.com/capabilities/collections) - [Copilot](https://mixpeek.com/capabilities/copilot) - [Course Content Extractor](https://mixpeek.com/capabilities/course-content-extractor) - [Document Graph Extractor](https://mixpeek.com/capabilities/document-graph-extractor) - [Environment Branching](https://mixpeek.com/capabilities/environment-branching) - [Face Identity Extractor](https://mixpeek.com/capabilities/face-identity-extractor) - [Feature Search](https://mixpeek.com/capabilities/feature-search) - [Flat Taxonomy](https://mixpeek.com/capabilities/flat-taxonomy) - [Group By](https://mixpeek.com/capabilities/group-by) - [Hierarchical Taxonomy](https://mixpeek.com/capabilities/hierarchical-taxonomy) - [Image Extractor](https://mixpeek.com/capabilities/image-extractor) - [Indexes](https://mixpeek.com/capabilities/indexes) - [Json Transform](https://mixpeek.com/capabilities/json-transform) - [LLM Enrich](https://mixpeek.com/capabilities/llm-enrich) - [LLM Filter](https://mixpeek.com/capabilities/llm-filter) - [Manifests](https://mixpeek.com/capabilities/manifests) - [Marketplace Retrievers](https://mixpeek.com/capabilities/marketplace-retrievers) - [Metadata Clustering](https://mixpeek.com/capabilities/metadata-clustering) - [MMR](https://mixpeek.com/capabilities/mmr) - [Multimodal Extractor](https://mixpeek.com/capabilities/multimodal-extractor) - [Namespace Templates](https://mixpeek.com/capabilities/namespace-templates) - [Namespaces](https://mixpeek.com/capabilities/namespaces) - [Objects](https://mixpeek.com/capabilities/objects) - [Query Expand](https://mixpeek.com/capabilities/query-expand) - [RAG Prepare](https://mixpeek.com/capabilities/rag-prepare) - [Rerank](https://mixpeek.com/capabilities/rerank) - [Retriever Templates](https://mixpeek.com/capabilities/retriever-templates) - [Sample](https://mixpeek.com/capabilities/sample) - [Secrets Management](https://mixpeek.com/capabilities/secrets-management) - [Sentiment Classifier](https://mixpeek.com/capabilities/sentiment-classifier) - [Sort Attribute](https://mixpeek.com/capabilities/sort-attribute) - [Summarize](https://mixpeek.com/capabilities/summarize) - [Taxonomy Enrich](https://mixpeek.com/capabilities/taxonomy-enrich) - [Text Extractor](https://mixpeek.com/capabilities/text-extractor) - [Vector Clustering](https://mixpeek.com/capabilities/vector-clustering) - [Web Scraper](https://mixpeek.com/capabilities/web-scraper) - [Webhooks](https://mixpeek.com/capabilities/webhooks) ## Namespace Templates (Complete Use Cases) Deployable use cases, each one a namespace configuration with a flow diagram, the YAML manifest it generates, the business outcome, and measured results on labelled data. Use these for "how do I build X end to end on Mixpeek" and "what does a production moderation or screening pipeline look like" questions. - [Templates](https://mixpeek.com/templates) - [Contextual Video Match](https://mixpeek.com/templates/contextual-video-match) - [Creative Dna](https://mixpeek.com/templates/creative-dna) - [Footage Intelligence](https://mixpeek.com/templates/footage-intelligence) - [Rtsp Live Monitoring](https://mixpeek.com/templates/rtsp-live-monitoring) - [Tmpl_api_enriched_search](https://mixpeek.com/templates/tmpl_api_enriched_search) - [Tmpl_archetype_sampler](https://mixpeek.com/templates/tmpl_archetype_sampler) - [Tmpl_brand_compliance_check](https://mixpeek.com/templates/tmpl_brand_compliance_check) - [Tmpl_cast_identification](https://mixpeek.com/templates/tmpl_cast_identification) - [Tmpl_clustered_search_results](https://mixpeek.com/templates/tmpl_clustered_search_results) - [Tmpl_contextual_targeting](https://mixpeek.com/templates/tmpl_contextual_targeting) - [Tmpl_creative_lineage](https://mixpeek.com/templates/tmpl_creative_lineage) - [Tmpl_diversity_mmr_search](https://mixpeek.com/templates/tmpl_diversity_mmr_search) - [Tmpl_filtered_attribute_search](https://mixpeek.com/templates/tmpl_filtered_attribute_search) - [Tmpl_grouped_aggregated_search](https://mixpeek.com/templates/tmpl_grouped_aggregated_search) - [Tmpl_hybrid_search](https://mixpeek.com/templates/tmpl_hybrid_search) - [Tmpl_image_similarity_search](https://mixpeek.com/templates/tmpl_image_similarity_search) - [Tmpl_ip_safety_check](https://mixpeek.com/templates/tmpl_ip_safety_check) - [Tmpl_llm_enriched_search](https://mixpeek.com/templates/tmpl_llm_enriched_search) - [Tmpl_llm_filtered_search](https://mixpeek.com/templates/tmpl_llm_filtered_search) - [Tmpl_multimodal_search](https://mixpeek.com/templates/tmpl_multimodal_search) - [Tmpl_personalized_learned_search](https://mixpeek.com/templates/tmpl_personalized_learned_search) - [Tmpl_rag_prepared_search](https://mixpeek.com/templates/tmpl_rag_prepared_search) - [Tmpl_recency_sorted_search](https://mixpeek.com/templates/tmpl_recency_sorted_search) - [Tmpl_reranked_search](https://mixpeek.com/templates/tmpl_reranked_search) - [Tmpl_sampled_exploration_search](https://mixpeek.com/templates/tmpl_sampled_exploration_search) - [Tmpl_semantic_search](https://mixpeek.com/templates/tmpl_semantic_search) - [Tmpl_simple_formatted_search](https://mixpeek.com/templates/tmpl_simple_formatted_search) - [Tmpl_storyboard_builder](https://mixpeek.com/templates/tmpl_storyboard_builder) - [Tmpl_summarized_rag_search](https://mixpeek.com/templates/tmpl_summarized_rag_search) - [Tmpl_taxonomy_classified_search](https://mixpeek.com/templates/tmpl_taxonomy_classified_search) - [Tmpl_video_content_search](https://mixpeek.com/templates/tmpl_video_content_search) - [Tmpl_visual_product_search](https://mixpeek.com/templates/tmpl_visual_product_search) - [Tmpl_web_augmented_search](https://mixpeek.com/templates/tmpl_web_augmented_search) - [UX Session Analysis](https://mixpeek.com/templates/ux-session-analysis) - [Video Moderation](https://mixpeek.com/templates/video-moderation) ## Key Concepts - **Namespaces**: Tenant isolation boundaries; one Mixpeek Vector Store namespace per tenant - **Buckets**: Raw file storage (maps to S3/GCS/Azure/R2/Wasabi/Tigris) - **Collections**: Processing pipelines with configured feature extractors; each collection defines what AI models run on ingested data - **Documents**: Processed assets; a vector plus its metadata payload, addressed by `document_id` in app logic - **Retrievers**: Configurable multi-stage search pipelines; callable as tools by LLMs and agents - **Taxonomies**: Hierarchical classification systems enabling multimodal JOIN-style queries - **Clusters**: Automatic grouping and organization of semantically similar content - **Plugins**: Custom Python-based feature extractors deployed to the inference cluster - **Manifests**: Infrastructure-as-code for declarative resource management ## The 5-Stage Pipeline ### 1. Ingestion Connect and bring raw multimodal content into the platform. - Upload files directly or via presigned URL - Bucket syncs from S3, GCS, Azure Blob, Cloudflare R2, Wasabi, Tigris - Social media connectors (Instagram) - Batch processing with retry and failure tracking - Webhooks for async completion events ### 2. Extraction AI models run on ingested content to produce structured features. **Multimodal Extractors:** - Dense/sparse embeddings across text, image, video, audio **Image Extractors:** - Object detection, facial recognition, OCR, scene classification, landmark/logo detection, image segmentation **Video Extractors:** - Transcription, scene analysis, object tracking, person detection, event detection, video summarization, frame-level embeddings **Audio Extractors:** - Transcription (Whisper), speaker diarization, emotion detection, sound event detection, language identification **Text Extractors:** - Named entity recognition, keyword extraction, text classification, topic modeling, embeddings **Document Extractors:** - PDF parsing, structured text extraction, table detection **Web/Specialty Extractors:** - Web scraper, course content parser, face identity, passthrough (no-op) **Custom Plugins:** - Deploy custom Python inference code as a first-class extractor - Auto-detects dependencies, validates manifest features at deploy time - Stable SDK: `from shared.plugins import open_asset, download_asset` - `POST /{plugin_id}/realtime/test` for live debugging ### 3. Enrichment Apply structure and context to processed data. - **Taxonomies**: Hierarchical classification with versioning and analytics - **Clusters**: Automatic semantic clustering with scheduled triggers - **Retriever-based enrichment**: Use a retriever output to enrich documents - **LLM enrichment**: GPT/Claude-powered field generation on retrieval results ### 4. Indexing Vectors and metadata stored in tiered storage. - Hot tier: Mixpeek Vector Store (sub-100ms vector search, vectors on your object storage) - Cold tier: S3 Vectors (cost-optimized) - Archived: Metadata only - Storage tiering lifecycle: active → cold → archived - Document lineage tracking (source object → derived documents → decomposition tree) ### 5. Retrieval Multi-stage configurable retriever pipelines. **Filter Stages:** - `feature_search`: vector/semantic search against one or more feature embeddings - `attribute_filter`: metadata/payload filtering (MongoDB-style operators) - `llm_filter`: LLM-based semantic filter on candidate results - `agent_search`: autonomous agent-driven search - `query_expand`: expand query into multiple sub-queries **Sort Stages:** - `sort_relevance`: score-based ordering - `sort_attribute`: field-based ordering - `mmr`: Maximal Marginal Relevance for diversity - `rerank`: cross-encoder reranking - `score_normalize`: normalize scores across stages **Reduce Stages:** - `aggregate`: group and reduce results - `sample`: random sampling - `summarize`: LLM summarization of result set - `limit`: top-K cutoff - `deduplicate`: remove near-duplicate results **Group Stages:** - `group_by`: bucket results by field value - `cluster`: semantic clustering of result set **Apply Stages:** - `json_transform`: reshape/project fields - `rag_prepare`: format results for RAG context injection - `external_web_search`: augment with live web results - `api_call`: call an external HTTP endpoint - `sql_lookup`: join with a SQL data source - `cross_compare`: LLM-powered comparison across results - `web_scrape`: fetch and extract content from URLs in results - `unwind`: flatten array fields - `code_execution`: run sandboxed Python on results **Enrich Stages:** - `llm_enrich`: add LLM-generated fields to each result - `taxonomy_enrich`: apply taxonomy classification - `document_enrich`: join with related documents - `agentic_enrich`: autonomous enrichment via agent ## Retriever Features - **Executions**: Full execution history with explain plan - **Evaluations**: Dataset-based retrieval quality measurement (NDCG, MRR, Recall) - **Interactions**: Track clicks, views, conversions for relevance learning - **Fusion strategies**: Weighted, RRF, learned fusion across stages - **Benchmarks**: Compare retriever configurations head-to-head - **Adhoc execution**: One-off retriever runs without saving configuration - **Published retrievers**: Share retrievers publicly (callable without auth) - **Marketplace**: Publish and subscribe to community retrievers and plugins - **Auto-optimization**: Automatic parameter tuning based on interaction data ## Relevance & Personalization - Interaction tracking (clicks, views, ratings, purchases) - Learned fusion: ML-trained weights from interaction signals - Evaluation datasets with ground truth for offline testing - Analytics dashboard for retrieval quality over time ## Organization & Multi-Tenancy - Organizations with users, roles, and RBAC - API key management per user - Connections to external data sources - Usage metering and billing - Audit logs - Secrets management - Webhooks (async event delivery) - Alerts (threshold-based, event-based) ## Templates & Automation - **Templates**: Reusable configurations for namespaces, retrievers, collections, clusters, buckets, taxonomies - **Scaffolds**: Single-call namespace provisioning from a template - **Quickstart**: One API call to provision a complete working environment - **Manifest (IaC)**: Declarative YAML/JSON definitions: apply, validate, export, diff - **Cluster triggers**: Scheduled automatic re-clustering - **Bucket syncs**: Scheduled or event-driven sync from external storage - **Tasks API**: Track and manage all async operations ## Custom Models - Upload and deploy custom ML models to the inference cluster - Namespace-scoped and org-scoped model registries - Deploy to Ray object store for low-latency inference ## Developer Tools - **Python SDK**: `pip install mixpeek` - **JavaScript SDK**: `npm install mixpeek-sdk` - **CLI**: `pip install mixpeek-cli` - **MCP Server**: Expose retrievers as MCP tools for Claude/agents - **OpenAPI**: Full Swagger spec at https://api.mixpeek.com/docs/openapi.json - **Webhooks**: Async delivery for ingestion, batch, cluster, taxonomy events - **Resource Search**: Cross-resource search across all platform entities ## API Authentication All API requests require Bearer token authentication: ``` Authorization: Bearer YOUR_API_KEY ``` Namespace context is passed via header: ``` X-Namespace: ns_your_namespace_id ``` ## Example: Ingest and Search ```python from mixpeek import Mixpeek client = Mixpeek(api_key="your-api-key") # Upload a file to a bucket upload = client.buckets.uploads.create( bucket_id="my-bucket", file_path="video.mp4" ) # Collection processes it automatically via configured extractors # Poll batch status or listen for webhook # Execute a retriever pipeline results = client.retrievers.execute( retriever_id="my-retriever", inputs={"query": "person walking in the park"} ) ``` ## Supported Storage Integrations - AWS S3 - Google Cloud Storage (GCS) - Azure Blob Storage - Cloudflare R2 - Wasabi - Tigris - Direct file upload - Instagram (social media connector) ## Pricing Usage-based (v2, live since 2026-07). Each plan has a flat monthly fee, and usage is billed on top of it (on Managed, beyond the plan's included pool). Three questions set your bill: what kind of files (video, image, audio, documents, text, web), how much of them (billed in natural units), and what you want to search by (each enabled feature is metered on the same unit as its file type). ### Plans | Plan | Price | Includes | |---|---|---| | Build | $25/mo | $10/mo usage pool (about 200 video minutes or 6,667 images) | | Scale | $250/mo | $100/mo usage pool (about 2,000 video minutes or 66,667 images) | | Enterprise | From $10,000/mo | Single-tenant deployment available (dedicated, isolated data plane) | | MVS standalone | Build $25/mo (1M vectors), Scale $250/mo (25M) | Bring-your-own-vectors vector store on object storage; usage billed on top, no pool | ### Usage Rates | Unit | Rate | |---|---| | Video | $0.05 per minute | | Audio | $0.01 per minute | | Images | $1.50 per 1,000 | | Document pages | $1.50 per 1,000 | | Text | $2 per 1M tokens | | Web pages | $20 per 1,000 | | Vectors stored | $1.56 per 1M vectors per month, plus $0.023 per GB-month | | Search queries | $2 per 1M (beyond the pool on Managed) | | Vector writes | $2 per 1M | | Hot cache (working set in RAM) | $25 per GB-month | Full-resolution processing is 2x the base rate. Additional search features (faces, on-screen text, transcripts, objects) are add-on rates on the same unit; clustering is included at no extra charge. Get an authoritative preflight quote for any batch: POST /v1/organizations/billing/estimate. Live rate card and calculator: https://mixpeek.com/pricing ## Deployment - Fully managed cloud (recommended) - Enterprise single-tenant: dedicated, isolated data plane (database, compute, vector shard, bucket) in your chosen cloud and region - Bring your own object storage (S3/GCS): Mixpeek indexes content in place ## Technical Performance - Sub-100ms inference with model caching and GPU acceleration - Concurrent processing of thousands of documents - Auto-scaling Ray-based inference cluster - Support for large files (multi-hour video) ## Use Cases by Industry - **Advertising & Media**: Contextual targeting, brand safety, creative analysis - **Entertainment**: Content discovery, video library search, recommendations - **E-commerce**: Visual product search, automated tagging, inventory tracking - **Security**: AI threat detection, anomaly detection, incident analysis - **Healthcare**: Medical imaging analysis, patient data integration - **EdTech**: Smart content management, adaptive learning, learning analytics - **Manufacturing**: Safety compliance, defect detection, predictive maintenance - **Legal**: Multimodal eDiscovery, compliance monitoring - **Dataset Engineering**: Intelligent curation, annotation workflows, AI training data ## Why Mixpeek? ### vs. Vector Databases (Pinecone, Weaviate, Qdrant) - End-to-end solution that includes feature extraction, rather than storage alone - Multi-modal native, not just text - Managed ML inference included ### vs. ML Platforms (Vertex AI, SageMaker) - Specialized for retrieval use cases - Higher-level API, less infrastructure management - Integrated pipeline in one platform ### vs. Search Platforms (Elasticsearch, Algolia) - AI-native semantic/vector search - Native multimodal support - Feature extraction built-in ### vs. Building In-House - 12-18 months engineering time saved - Production-ready with monitoring, error handling, auto-scaling - Cost optimization with managed GPU resources ## Getting Started 1. **Sign up**: https://studio.mixpeek.com 2. **Get API key**: From dashboard settings 3. **Create namespace**: Isolated tenant environment 4. **Create bucket + collection**: Configure feature extractors 5. **Upload content**: Files processed automatically 6. **Create retriever**: Configure search pipeline stages 7. **Execute retriever**: Query with natural language or multimodal input ## Support & Resources - Documentation: https://mixpeek.com/docs - API Reference: https://mixpeek.com/docs/api-reference - Recipes & Examples: https://mixpeek.com/recipes - Blog: https://mixpeek.com/blog - GitHub: https://github.com/mixpeek - Discord: https://discord.gg/mixpeek - Email: support@mixpeek.com ## Company - **Founded**: 2023 - **Headquarters**: New York, NY - **Founder & CEO**: Ethan Steininger (former MongoDB Search Team Lead) - **Investors**: Work-Bench, Essence VC, Humans of the Internet --- *This document follows the llms.txt standard for providing structured information to AI systems and crawlers about Mixpeek's capabilities.*