knowledge-rag and claude-rag-skills
One tool provides a local RAG system for Claude Code with hybrid search and MCP integration, while the other offers professional development skills—including auditing, evaluation, optimization, and scaffolding—for Claude Code RAG pipelines, making them complements where one provides the system and the other the expertise to build upon it.
About knowledge-rag
lyonzin/knowledge-rag
Local RAG System for Claude Code - Hybrid search (Semantic + BM25) with MCP integration
This system allows you to easily make your personal or team documents, like notes, internal procedures, PDFs, and code, searchable by your AI assistant like Claude Code. You feed it your files, and it creates a private, local knowledge base that the AI can use to answer questions or provide context. It's designed for professionals who need their AI tools to understand their specific, private information without sending it to cloud services.
About claude-rag-skills
floflo777/claude-rag-skills
Professional RAG development skills for Claude Code - audit, evaluate, optimize, and scaffold RAG pipelines
This tool provides professional assistance for building and refining Retrieval-Augmented Generation (RAG) systems within Claude Code. It takes your existing RAG code or project requirements and outputs audits, performance evaluations, optimal data chunking strategies, or boilerplate code. It's designed for developers, AI engineers, or data scientists working on production-grade RAG applications.
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