LEANN
[MLsys2026]: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
📊 仓库数据
🔗 相关工具
opik
开源⭐ 19kgithub.com/comet-ml/opik
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
memvid
开源⭐ 15kgithub.com/memvid/memvid
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
PageIndex
开源⭐ 31kgithub.com/vectifyai/pageindex
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
txtai
开源⭐ 13kgithub.com/neuml/txtai
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Vespa
免费⭐ 6.9kgithub.com/vespa-engine/vespa
AI + Data, online. https://vespa.ai
airweave
开源⭐ 6.3kgithub.com/airweave-ai/airweave
Open-source context retrieval layer for AI agents