Flexible GraphRAG

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GitHub RepoAI / Developer Tools / RAG & Knowledge Graph InfrastructurePre-seed (open-source project; early traction via GitHub stars)

Description

Flexible GraphRAG stack in Python (LlamaIndex) with Docker Compose support for multiple graph DBs and vector DBs, plus OpenSearch/Elasticsearch; supports many data sources, auto-building knowledge graphs/schemas, doc processing (Docling/LlamaParse), GraphRAG/RAG-only/hybrid search, AI chat, and multiple frontends (React/Vue/Angular) with a FastAPI backend and MCP server.

Founders

Steve Reiner (inferred from GitHub owner: stevereiner)

Discovered

August 5, 2025

Added to Database

January 22, 2026

Notes

A broad, plug-and-play GraphRAG platform that abstracts over many graph/vector databases and search backends, reducing integration friction for teams building production RAG + knowledge graph systems. Differentiates via breadth of supported backends, end-to-end pipeline (ingest→KG→retrieval→chat), and deployability via Docker Compose.