Vespa

微软开源的基于知识图谱的 RAG 系统，将传统向量检索升级为图谱推理，大幅提升复杂问答的准确性和可解释性。

📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG

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.

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

[MLsys2026]: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.

SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.