RAG Retrieval Skill
CommunityInstantly query your docs, get AI answers.
AuthorItMeDiaTech
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill eliminates the tedious manual work of searching through vast documentation, providing instant, context-aware answers directly from your local knowledge base. It solves the problem of generic AI responses by grounding them in your specific project data, saving you time and reducing cognitive load.
Core Features & Use Cases
- Context-Aware AI Answers: Get precise responses from Claude Haiku, directly informed by your internal documentation, code, or research materials.
- Hybrid Search Accuracy: Combines semantic understanding with keyword matching to ensure the most relevant documents are retrieved, even for complex queries.
- Local-First Privacy: All document processing and retrieval occurs on your machine, guaranteeing your sensitive data remains private and secure.
- Use Case: Ask "How do I configure authentication for the new service?" and receive an answer tailored to your project's specific setup, complete with citations from your internal API documentation, all within seconds.
Quick Start
Ask the RAG Retrieval Skill: "How to configure the API?" To retrieve more context, ask: "How to handle errors?" --top-k 10
Dependency Matrix
Required Modules
sentence-transformersfaiss-cpuanthropiclangchainpypdf2python-docx
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: RAG Retrieval Skill Download link: https://github.com/ItMeDiaTech/rag-cli/archive/main.zip#rag-retrieval-skill Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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