Provides patterns to build Retrieval-Augmented Generation (RAG) systems for AI 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.
Quickly install rag AI skill to your development environment via command line
Source: giuseppe-trisciuoglio/developer-kit.
Build Retrieval-Augmented Generation systems that extend AI capabilities with external knowledge sources.
RAG (Retrieval-Augmented Generation) enhances AI applications by retrieving relevant information from knowledge bases and incorporating it into AI responses, reducing hallucinations and providing accurate, grounded answers.
Vector Databases Store and efficiently retrieve document embeddings for semantic search.
Provides patterns to build Retrieval-Augmented Generation (RAG) systems for AI 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. Source: giuseppe-trisciuoglio/developer-kit.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/giuseppe-trisciuoglio/developer-kit --skill ragProvides patterns to build Retrieval-Augmented Generation (RAG) systems for AI 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. Source: giuseppe-trisciuoglio/developer-kit.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/giuseppe-trisciuoglio/developer-kit --skill rag Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/giuseppe-trisciuoglio/developer-kit