Build on the AI-Ready Knowledge Graph
Everything you need to connect, query, and build applications on Fluree — from quickstart guides to API reference to open-source tools.
Get Started
Quickstart
Zero to first query in 5 minutes. Connect a data source, run a query, see results.
Fluree Solo
Free serverless knowledge graph. No infrastructure. Full Intelligence Stack included.
MCP Server
Connect any LLM to your knowledge graph via Model Context Protocol. Claude, ChatGPT, any MCP client.
Documentation
Organized by what you’re trying to accomplish
Not by product name.
Connect Your Data
- Connector setup guides for top 20 sources
- PostgreSQL, Salesforce, S3, Snowflake
- File upload (CSV, JSON, PDF, Parquet)
Query Your Graph
- SPARQL reference
- FlureeQL syntax
- REST API reference
- Natural language query setup
Build AI Applications
- MCP server configuration
- LangChain integration
- LlamaIndex connector
- Agent framework patterns
Model Your Data
- Ontology creation guide
- ITM taxonomy management
- Schema design patterns
- JSON-LD / RDF primer
Secure Your Data
- Access policy configuration
- Role-based access control
- Audit trail & compliance
- Data-centric security guide
Deploy & Operate
- Docker deployment
- Cloud deployment (AWS, Azure, GCP)
- Monitoring & scaling
- Backup & recovery
Downloads
Fluree DB v3.0
The core knowledge graph database engine.
- Linux (x64)
fluree-3.0-linux-x64.tar.gz - macOS (ARM)
fluree-3.0-macos-arm64.tar.gz - macOS (x64)
fluree-3.0-macos-x64.tar.gz - Docker
docker pull fluree/server:3.0
Quick start
docker run -p 8090:8090 fluree/server:3.0
MCP Server
Connect any MCP-compatible AI client to your Fluree knowledge graph.
fluree memory mcp-install
Works with Claude Desktop, ChatGPT, Amazon Bedrock, Cursor, and any MCP-compliant framework.
SDKs & Libraries
- JavaScript / TypeScript
npm install @fluree/sdk - Python
pip install fluree-sdk - Java
Maven: com.fluree/fluree-sdk - LangChain
pip install fluree-langchain - LlamaIndex
pip install fluree-llamaindex
Previous versions: github.com/fluree/db/releases · License: AGPL v3 (open source) or commercial license.
Fluree Labs — Build in Your Browser
Ontology Builder
Visually design and export JSON-LD ontologies for your knowledge graph. Drag-and-drop classes, properties, and relationships. Export as JSON-LD, Turtle, or OWL.
Knowledge Graph Builder
Build and explore knowledge graphs interactively. Add entities, create relationships, run queries, and visualize your graph — all in the browser.
Chat with Our Codebase
Ask questions about Fluree’s source code and get AI-powered answers grounded in the actual codebase. Understand architecture decisions and explore the code without cloning.
Benchmarks
LLM Accuracy Benchmark
Comparing GraphRAG vs traditional vector RAG — measuring answer accuracy, hallucination rates, and provenance quality across LLM-powered Q&A.
4× improvement in zero-shot accuracy. 95%+ with semantic enrichment.
RDF Performance Benchmark
Performance benchmarks for Fluree’s SPARQL query engine — insert throughput, query latency, and scalability across standard RDF workloads.
Community
Discord
Join 800+ developers building with Fluree. Real-time help from the engineering team.
GitHub
Source code, issues, pull requests, and example repositories.
Fluree Labs Blog
Technical deep-dives from the engineering team. FlureeQL vs SPARQL, immutable architectures, semantic RAG.
API Reference
REST API Preview
- POST
/fluree/queryExecute a SPARQL or FlureeQL query - POST
/fluree/transactWrite data to the knowledge graph - GET
/fluree/datasetList available datasets - GET
/fluree/healthHealth check
Start Building.
Fluree Solo is free. The docs are comprehensive. The Discord is active. The MCP server takes 30 seconds to configure. What are you building?