by stevereiner · MCP Server · ★ 127
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 or LlamaParse doc processing, GraphRAG, RAG only, Hybrid Search, AI Chat. TypeScript React, Vue, Angular frontends, FastAPI REST backend, MCP Server.
| Stars | 127 |
| Forks | 29 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 36.8/100 |
| Open Issues | 3 |
| Last Updated | 2026-05-17 |
| Created | 2025-08-05 |
| Platforms | cli, docker, mcp, python |
| Est. Tokens | ~2334k |
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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 Server with 127 GitHub stars.
flexible-graphrag is primarily written in Python. It covers topics such as ai-agent-memory, ai-chat, ai-context-extraction.
You can find installation instructions and usage details in the flexible-graphrag GitHub repository at github.com/stevereiner/flexible-graphrag. The project has 127 stars and 29 forks, indicating an active community.
flexible-graphrag is released under the Apache-2.0 license, making it free to use and modify according to the license terms.