LightRAG
GitHub Repo Pretty sure · shipping faster than hype cycleGraph-based RAG that actually extracts knowledge instead of just keyword-matching—genuinely useful, backed by research, and the fact that it works with local LLMs without bleeding money is rare.
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LightRAG solves a real problem: naive RAG retrieval via vector similarity misses relationships. Their dual-level retrieval (entities + graph traversal) is legitimate research published at EMNLP 2024. Code is actually in the repo, not marketing smoke. The README is badge-heavy but backed by real features: PostgreSQL/Neo4j/MongoDB storage, reranking, document deletion with KG regeneration. Tool integration (RAGAS, Langfuse, Ollama support) shows they're solving operational problems, not just de...
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