LightRAG
GitHub Repo Pretty sure ยท shipping, not vaporwareKnowledge graph RAG that actually extracts entities and relationships instead of just vector-searching PDFs. Paper-backed, actively maintained, genuinely useful for structured retrieval.
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LightRAG has a published arxiv paper (2410.05779) describing a dual-level retrieval approach using both entity-relationship graphs and vector search. The repo shows real code, not just promises โ supports multiple backends (Neo4j, PostgreSQL, MongoDB), has a WebUI, and integrates with RAGAS/Langfuse for actual evaluation. The README is badge-heavy (cardinal sin), but underneath is a working system with documented multimodal support. Not revolutionary, but solves a real RAG problem: plain vect...
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