GNO provides a fast, privacy-first solution for searching local documents, notes, and codebases directly within the Claude Code environment. It utilizes first-in-class hybrid retrieval—combining keyword matching (BM25) with vector search—to find information across various file formats like PDF, Markdown, and Word. This skill is ideal for developers and knowledge workers who need to build local RAG (Retrieval-Augmented Generation) setups, query personal wikis, or navigate complex documentation without relying on cloud-based search APIs.
주요 기능
01Full MCP support for seamless integration with AI assistants and Claude Code.
02Hybrid retrieval combining BM25 keyword matching and semantic vector search.
0311 GitHub stars
04AI-generated answers with precise citations from your local documents.
05Built-in Web UI and knowledge graph for visualizing document relationships.
06Support for various file formats including Markdown, PDF, Word, and source code.
사용 사례
01Querying large internal documentation folders to find specific configuration steps.
02Building a private, local knowledge base from personal Markdown notes and PDFs.
03Implementing RAG for local codebases to help AI models understand project context.