# 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 — extraction, mapping, chunking vs knowledge graphs, and choosing an approach
- [Solutions by Industry](https://flur.ee/solutions/industries): Index of industry solutions — financial services, media, pharma, supply chain, government
- [Financial Services](https://flur.ee/solutions/financial): Core banking AI, fintech operations, data monetization
- [Media](https://flur.ee/solutions/media): Content monetization and archival cataloguing
- [Pharma](https://flur.ee/solutions/pharma): Regulatory intelligence, reporting, and clinical data intelligence
- [Government](https://flur.ee/solutions/government): Secure, verifiable data sharing for public sector
- [Supply Chain](https://flur.ee/solutions/supply): Traceability and multi-party data collaboration

## Demo Kits

Downloadable knowledge graphs an agent can load and verify without talking to sales. Each kit ships a standards-based model, instance data, and competency questions **with their expected answers**, so an agent can load the graph, answer the questions, and check its own work. Free to run: a hosted workspace at https://flur.ee/solo, or the CLI via `brew install fluree/tap/fluree`.

- [Demo Kits](https://flur.ee/demo): Catalog of loadable industry knowledge graphs, each with competency questions and expected answers
- [Consumer Goods Demo Kit](https://flur.ee/demo/cpg): Trade promotions, retailer agreements, and upstream traceability on the GS1 Web Vocabulary and GS1 EPCIS 2.0, over a real USDA FoodData Central corpus (CC0). 35 classes, 413 entities, 26 questions. Optional modules: time travel, governed access, decision memory
- [Financial Services Demo Kit](https://flur.ee/demo/financial): Commercial lending through a covenant breach — facilities, covenants, ratings, KYC — typed with FIBO business-entity ontologies over a real GLEIF LEI corpus (CC0). 19 classes, 171 entities, 18 questions. Optional module: governed access
- [Pharmaceutical Demo Kit](https://flur.ee/demo/pharma): An impurity investigation traced from API lot to batch to market recall, over a real openFDA drug listing corpus (public domain). 15 classes, 146 entities, 15 questions. Optional module: governed access

Each kit's download is a zip containing `model.jsonld`, instance files, `shapes.json` (SHACL), `competency-questions.md`, and a `README.md` with load instructions. Fictional business facts never attach to the real licensed records in any kit; the model enforces the separation.

## Resources

- [Blog](https://flur.ee/blog): Articles on GraphRAG, knowledge graphs, semantic data, and enterprise AI
- [Kevin Doubleday — Author](https://flur.ee/blog/author/kevin-doubleday): Communications Lead at Fluree; 45+ articles on knowledge graphs, semantic data, and enterprise AI
- [Brian Platz — Author](https://flur.ee/blog/author/brian-platz): Co-founder & Co-CEO of Fluree; writes on graph databases, verifiable data, and enterprise AI
- [Guide to the Enterprise AI Context Layer](https://flur.ee/blog/guide-to-the-enterprise-ai-context-layer): Definitional guide — what an enterprise AI context layer is, why agents fail without one, the Four Tiers of Enterprise Context, how it differs from a semantic layer, knowledge graph, catalog, or vector database, and how to add one without a rip-and-replace
- [One Ontology or Many? What Survives Contact with Production Agents](https://flur.ee/blog/one-ontology-or-many-what-survives-production-agents): Whether to build one enterprise ontology or one per use case; the six tests production agents apply (cross-domain, collision, change, replay, exit, slice) under interoperability, durability, and portability; the governed-core-with-extensions shape; how Fluree supports both patterns
- [Why AI Needs a Knowledge Graph](https://flur.ee/blog/why-ai-needs-a-knowledge-graph): Pillar guide — explicit meaning, durable data assets, consistent answers, and integration cost paid once
- [Fluree vs. the Stack](https://flur.ee/compare): How Fluree measures against document extraction, data unification, graph engines, governance suites, and AI consumption layers — with public benchmarks
- [Best Enterprise AI Search Software in 2026](https://flur.ee/compare/enterprise-ai-search): Glean, Coveo, Elastic, Microsoft 365 Copilot, Guru, Sinequa, and Fluree compared on connectors, permissions, RAG citations, agents, and pricing
- [Best Semantic Layer Tools for AI in 2026](https://flur.ee/compare/semantic-layer-tools): dbt, Looker, Cube, AtScale, Snowflake Semantic Views, Databricks Metric Views, and Fluree compared on definitions, agent interfaces, and pricing
- [Fluree vs Neo4j](https://flur.ee/compare/fluree-vs-neo4j): Head-to-head — data model, Cypher support, time travel, access control, pricing, and migration
- [Fluree vs Glean](https://flur.ee/compare/fluree-vs-glean): Head-to-head — the workplace-search index versus the governed knowledge graph, permissions to pricing
- [Best Enterprise Knowledge Graph Platforms in 2026](https://flur.ee/blog/enterprise-kg-buyers-guide-2026): Honest comparison of Neo4j, Memgraph, Stardog, Fluree, Graphwise, eccenca, and AWS Neptune
- [Neo4j Alternatives in 2026](https://flur.ee/blog/neo4j-alternatives): Six graph databases compared on licensing, query languages, scale, and pricing — every claim sourced and dated
- [Glean Alternatives in 2026](https://flur.ee/blog/glean-alternatives): Seven enterprise AI search platforms compared on permissions, agents, deployment, and pricing — every claim sourced and dated
- [Weaviate Alternatives in 2026](https://flur.ee/blog/weaviate-alternatives): Seven vector search options compared on deployment, memory economics, hybrid search, and pricing
- [Best Decision Intelligence Platforms in 2026](https://flur.ee/compare/decision-intelligence): Fluree, Palantir, Aera, Quantexa, SAS, and FICO compared on decision modeling, composite AI, orchestration, and governance
- [Case Studies](https://flur.ee/case-studies): Customer stories across finance, media, pharma, and government
- [Resources](https://flur.ee/resources): Whitepapers, webinars, and guides
- [Developer Resources](https://flur.ee/resources/developers): Docs, SDKs, and developer guides
- [What is JSON-LD?](https://flur.ee/json-ld): Introduction to JSON-LD and linked data

## Company

- [About](https://flur.ee/about): Company mission and history
- [Leadership](https://flur.ee/company/leadership): Executive team
- [Contact](https://flur.ee/contact): Book a demo or talk to sales
- [Pricing](https://flur.ee/pricing): Plans and pricing