Flexible GraphRAG: Python, LlamaIndex, Docker Compose: 8 Graph dbs, 10 Vector dbs, OpenSearch, Elasticsearch, Alfresco. 13 data sources (9 auto-sync), KG auto-building, schemas, LLMs, Docling or LlamaParse doc processing, GraphRAG, RAG only, Hybrid search, AI chat. React, Vue, Angular frontends, FastAPI backend, REST API, MCP Server. Please ๐ Star
{
"mcpServers": {
"flexible-graphrag": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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Flexible GraphRAG: Python, LlamaIndex, Docker Compose: 8 Graph dbs, 10 Vector dbs, OpenSearch, Elasticsearch, Alfresco. 13 data sources (9 auto-sync), KG auto-building, schemas, LLMs, Docling or LlamaParse doc processing, GraphRAG, RAG only, Hybrid search, AI chat. React, Vue, Angular frontends, FastAPI backend, REST API, MCP Server. Please ๐ Star
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Apache-2.0. View license โ
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Last commit 6 days ago. 117 stars.
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Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
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No known vulnerabilities.
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New Flexible GraphRAG now supports RDF-based ontologies for both property graph databases and RDF triple store databases (Graphwise Ontotext GraphDB, Fuseki, and Oxigraph). Document ingestion with KG extraction, auto incremental data source change detection, and UI search (hybrid search, AI query, and AI chat) are all supported with both database types.
New Flexible GraphRAG supports automatic incremental updates (Optional) from most data sources, keeping your Vector, Search and Graph databases synchronized in real-time or near real-time.
New - KG Spaces Integration of Flexible GraphRAG in Alfresco ACA Client
Flexible GraphRAG is an open source platform supporting document processing (Docling or LlamaParse), knowledge graph auto-building, schemas, LlamaIndex LLMs, RAG and GraphRAG setup, hybrid search (fulltext, vector, graph), AI query, and AI chat capabilities. The backend uses Python, LlamaIndex, and FastAPI. Has Angular, React, and Vue TypeScript frontends. A MCP Server is also available. Currently supports 13 data sources, 10 vector databases, OpenSearch / Elasticsearch / BM25 search, 8 property graph databases, 3 RDF triple stores (Fuseki, GraphDB, Oxigraph), and Alfresco. These servers and their dashboards can be configured in a provided docker compose.
Flexible GraphRAG data sources, processing tab, auto-sync document states in Postgres, Neo4j