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Tag: #bm25

4 packages • ⭐ 4,495 total stars

infinityv0.7.0-dev5🌱 Seedling4,476

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

rasputin-memoryv0.9.1🌱 Seedling17

The memory system your AI agent deserves. 4-stage hybrid retrieval — Vector + BM25 + Knowledge Graph + Neural Reranker — in <150ms. Self-hosted, $0/query, built for agents that need to actually rememb

agentic-ragmain@2026-04-21🌱 Seedling1

📄 Enable smart document and data search with AI-powered chat, vector search, and SQL querying across multiple file formats.

reasonkit-memmain@2026-04-21🌱 Seedling1

🚀 Build memory and retrieval infrastructure for ReasonKit, enhancing data management and access for your applications with ease and efficiency.