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Fluree
Fluree is a semantic graph database and enterprise AI data platform. It unifies enterprise data as a knowledge graph (JSON-LD/RDF) with built-in trust, governance, and cryptographic verifiability, powering GraphRAG, semantic layers, and AI agents that need accurate, explainable answers.
- Authority
- 48 reach 7 · trust 5 · quality 21 · freshness 15
- Tier
- listed
- llms.txt
- https://flur.ee/llms.txt
- Sections
- 5
- Links
- 53
- Size
- 9544 bytes
- Popularity rank
- #402018
- Country
- Estonia
- Categories
- AI and machine learning · Data and analytics
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-19T10:43:06.311Z
- Last checked
- 2026-10-21T02:28:51.767Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-21T02:28:50.647Z. Cached copy · Source on flur.ee
# Fluree
> Fluree is a semantic graph database and enterprise AI data platform. It unifies enterprise data as a knowledge graph (JSON-LD/RDF) with built-in trust, governance, and cryptographic verifiability, powering GraphRAG, semantic layers, and AI agents that need accurate, explainable answers.
Fluree's products include Fluree AI (the hosted Fluree platform), FlureeDB (the verifiable knowledge graph database), Fluree Sense (AI-powered data pipelines), Fluree CAM (content asset management), and Fluree ITM (taxonomy management).
## Platform
- [Platform overview](https://flur.ee/platform): The Fluree enterprise suite — database, AI, pipelines, and governance
- [AI-Ready Data](https://flur.ee/platform/ai-ready-data): How Fluree makes data AI-ready — structured records, unstructured content, and governed vocabulary in one graph
- [Fluree Core](https://flur.ee/platform/core): The semantic graph database — JSON-LD native, verifiable, queryable via SPARQL and GraphQL
- [Fluree AI](https://flur.ee/solo): The hosted Fluree platform — governed answers, dashboards, and agents; free to start
- [Fluree Sense](https://flur.ee/platform/sense): AI-powered data transformation and golden-record pipelines
- [Fluree CAM](https://flur.ee/platform/cam): Content asset management on semantic foundations
- [Fluree ITM](https://flur.ee/platform/itm): Intelligent taxonomy and ontology management
- [Connectors](https://flur.ee/platform/connectors): Integrations with existing enterprise data sources
## Solutions
- [GraphRAG](https://flur.ee/solutions/graph-rag): Why knowledge-graph-grounded RAG beats vector-only retrieval
- [Semantic Layer](https://flur.ee/solutions/semantic-layer): A unified, queryable meaning layer across enterprise data
- [Enterprise Knowledge Graph](https://flur.ee/solutions/enterprise-knowledge-graph): Building and operating an enterprise knowledge graph
- [Conversational Analytics](https://flur.ee/solutions/conversational-analytics): Natural-language questions over governed data
- [Golden Records](https://flur.ee/solutions/golden-records): Entity resolution and master data management
- [AI Agent Governance](https://flur.ee/solutions/ai-agent-governance): Trusted data infrastructure for AI agents
- [Decision Intelligence](https://flur.ee/solutions/decision-intelligence): The decision intelligence platform built on a governed knowledge graph
- [Enterprise AI Search](https://flur.ee/solutions/enterprise-ai-search): Governed, cited answers across structured and unstructured enterprise data
- [What is AI-Ready Data?](https://flur.ee/solutions/ai-ready-data): Definitional guide — key characteristics, common challenges, analytics-ready vs AI-ready, and a readiness self-assessment
- [Entity Resolution](https://flur.ee/solutions/entity-resolution): Guide to entity resolution — how it works, challenges, terminology, and choosing software
- [AI Data Preparation](https://flur.ee/solutions/ai-data-preparation): Guide to preparing unstructured content for AI
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