rag-implementation
Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.
Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security
Installation for Agentic Skill
View all platforms →skilz install wshobson/agents/rag-implementationskilz install wshobson/agents/rag-implementation --agent opencodeskilz install wshobson/agents/rag-implementation --agent codexskilz install wshobson/agents/rag-implementation --agent geminiFirst time? Install Skilz: pip install skilz
Works with 22+ AI coding assistants
Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...
Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/wshobson/agentscp -r agents/plugins/llm-application-dev/skills/rag-implementation ~/.claude/skills/Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Repository
- agents
- Stars
- 23399
- Forks
- 2594
- Type
- Technical
- Meta-Domain
- productivity
- Primary Domain
- Market Score
- 54
Browse Category
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