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High-Potential
Python
📚 Flexible GraphRAG: Comprehensive Graph Retrieval Playground
130 stars29 forksPython
ai-agent-memoryai-chatai-context-extractionai-context-managementalfrescoarcadedbdoclingdocument-processingfalkordbgraphraghybrid-searchknowledge-graph
This is a comprehensive playground for GraphRAG implementations. It integrates over a dozen graph and vector databases, alongside document processing tools like Docling and LlamaParse. The interesting part is how it attempts to bundle automated knowledge graph building, hybrid search, and an MCP server into a single Docker Compose environment.
It is exploring a highly flexible RAG architecture that allows developers to quickly swap between different storage backends and parsing strategies. While the sheer number of integrations makes it quite heavy, it provides a useful testing ground for teams needing to evaluate various GraphRAG approaches without building the glue code from scratch.