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Mixedbread

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For agents: Search API for AI that indexes unstructured files into Stores for natural-language search; includes quickstart, concepts, changelog and agent skills docs.

ai search apivector searchembeddingsdocument searchagent skills

Authority
51 reach 10 · trust 5 · quality 21 · freshness 15
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listed
llms.txt
https://www.mixedbread.com/llms.txt
llms-full.txt
https://www.mixedbread.com/llms-full.txt
Sections
4
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28650 bytes
Popularity rank
#307268
Country
United States
Categories
AI agents and MCP · APIs and SDKs · AI and machine learning
For agents
Interface: a documented API or declared MCP endpoint an agent can call
Audience
developers · agents can: read docs, call api · en
First seen
2026-10-19T10:41:15.976Z
Last checked
2026-10-20T16:18:47.470Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-20T16:18:38.642Z. Cached copy · Source on mixedbread.com

# Mixedbread

## Website

- [Mixedbread - Make your agents work on your data](https://www.mixedbread.com/index.md): Make your agents work on your data. Mixedbread turns PDFs, decks, videos, code, Slack, and Drive into evidence your agent can act on, with fewer tokens.
- [Pricing: plans and usage rates](https://www.mixedbread.com/pricing.md): Start free with $5 in credits, scale for $20 a month plus usage, or go enterprise. The same per-unit rates on every plan, bandwidth and egress included.
- [Quality Evals](https://www.mixedbread.com/evals.md): Toast 1 and Wholembed V3 results on public retrieval and agent benchmarks, measured against the strongest competing models.
- [ViDoRe V3 (Markdown) benchmark · Retrieval](https://www.mixedbread.com/evals/vidore-v3-text.md): Real-world, domain-specific document retrieval: ViDoRe V3 spans specialized industry corpora, evaluated on documents pre-parsed to markdown (English, French).
- [ViDoRe V3 Crosslingual (Markdown) benchmark · Retrieval](https://www.mixedbread.com/evals/vidore-v3-crosslingual-text.md): Real-world, domain-specific document retrieval in markdown, with cross-lingual queries (de, en, es, fr, it, pt).
- [ViDoRe V3 (Images) benchmark · Retrieval](https://www.mixedbread.com/evals/vidore-v3-images.md): Real-world, domain-specific document retrieval from page images rather than parsed text (English, French).
- [Miracl-Vision benchmark · Retrieval](https://www.mixedbread.com/evals/miracl-vision.md): Multilingual visual document retrieval across 18 languages.
- [Audio benchmark · Retrieval](https://www.mixedbread.com/evals/incompebench.md): Audio retrieval with graded relevance judgements.
- [Video benchmark · Retrieval](https://www.mixedbread.com/evals/video-retrieval.md): Text-to-video retrieval (general clips, localized moments, instructional).
- [BrowseComp-Plus benchmark · Agents](https://www.mixedbread.com/evals/browsecomp-plus.md): A deep-research agent answers multi-hop questions over a 100k-document web corpus.
- [MADQA benchmark · Agents](https://www.mixedbread.com/evals/madqa.md): Agents answer questions over 800 multimodal PDFs (Snowflake leaderboard).
- [OfficeQA-Pro benchmark · Agents](https://www.mixedbread.com/evals/officeqa-pro.md): OpenAI Codex answers enterprise finance questions over 89,000 pages of PDFs (Databricks benchmark).
- [BrowseComp-Plus benchmark · Toast 1](https://www.mixedbread.com/evals/toast-1-browsecomp-plus.md): Head-to-head as a standalone search agent: Toast 1 vs. GPT-5.6, Claude, Kimi, Qwen, GLM and DeepSeek running the same search loop over the same 100k-document…
- [OfficeQA-Pro benchmark · Toast 1](https://www.mixedbread.com/evals/toast-1-officeqa-pro.md): Head-to-head as a standalone search agent over 89,000 pages of financial PDFs: Toast 1 vs. frontier models running the same search loop.
- [LongSeal benchmark · Toast 1](https://www.mixedbread.com/evals/toast-1-longseal.md): Head-to-head as a standalone search agents: Toast 1 vs. GPT-5.6, Claude, Kimi, Q
…

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