flexible-graphrag

by stevereiner · MCP 服务器 · ★ 135

About flexible-graphrag

New 5/6/26: 15 property graph databases total: 8 supported on both LlamaIndex and LangChain, 1 LI-only (Google Cloud Spanner Graph), 6 LC-only (ArangoDB, Apache AGE, Azure Cosmos DB for Gremlin, Apache HugeGraph, SurrealDB, TigerGraph). AWS Neptune RDF/SPARQL added. All 10 vector databases, all 3 search engines, and all LLM/embedding providers work with both LlamaIndex and LangChain. Every pipeline stage (chunking, KG extraction, graph write, vector write, search write, and retrieval fusion) can be configured independently.

ai-agent-memoryai-chatai-context-extractionai-context-managementalfrescoarcadedbdoclingdocument-processingfalkordbgraphrag

Quick Facts

Stars135
Forks29
LanguagePython
CategoryMCP 服务器
LicenseApache-2.0
Quality Score36.8/100
Open Issues3
Last Updated2026-06-02
Created2025-08-05
Platformscli, docker, mcp, python
Est. Tokens~2352k

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Frequently Asked Questions

What is flexible-graphrag?

flexible-graphrag is Python, LlamaIndex, LangChain, Docker Compose: 15 Property Graph, 4 RDF , 10 Vector, OpenSearch, Elasticsearch, Alfresco DBs. 13 data sources (9 auto-sync), KG auto-building, Ontologies, LLMs, Docling. It is categorized as a MCP 服务器 with 135 GitHub stars.

What programming language is flexible-graphrag written in?

flexible-graphrag is primarily written in Python. It covers topics such as ai-agent-memory, ai-chat, ai-context-extraction.

How do I install or use flexible-graphrag?

You can find installation instructions and usage details in the flexible-graphrag GitHub repository at github.com/stevereiner/flexible-graphrag. The project has 135 stars and 29 forks, indicating an active community.

What license does flexible-graphrag use?

flexible-graphrag is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

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