[ACL2025 demo track] ROGRAG: A Robustly Optimized GraphRAG Framework
$ git clone https://github.com/tpoisonooo/ROGRAG.git▲ +28 ★ this week
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.
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World's first open-source enterprise world model.
A personal knowledge base that builds and maintains itself. Drop in sources — Claude (or Codex/Gemini) reads them, extracts knowledge, and maintains a persistent interlinked wiki. Works with Claude Code, Codex, OpenCode, Gemini CLI. No API key needed.
A new SOTA for RAG — an original retrieval architecture and an open-source knowledge base for humans and agents.
中文优先的企业 RAG 知识库：可控解析、治理、切块、混合检索、重排、引用、图谱、评测与 Dify 接入。
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GraphRAG-rs is a high-performance, state-of-the-art Rust implementation of GraphRAG (Graph-based Retrieval Augmented Generation) that builds knowledge graphs from documents and enables natural language querying with configurable entity extraction and local LLM integration
Data from GitHub · snapshot Nov 13, 2026