rag pipeline builder
✓Build retrieval-augmented generation systems that ground LLM responses in your data
Installation
SKILL.md
The RAG Pipeline Builder skill guides you through designing and implementing Retrieval-Augmented Generation systems that enhance LLM responses with relevant context from your own data. RAG combines the power of large language models with the precision of information retrieval, reducing hallucinations and enabling AI to work with private, current, or domain-specific knowledge.
This skill covers the complete RAG stack: document ingestion, chunking strategies, embedding generation, vector storage, retrieval optimization, context injection, and response generation. It helps you make informed decisions at each stage based on your specific requirements for accuracy, latency, cost, and scale.
Whether you are building a documentation Q&A bot, a customer support system, or an enterprise knowledge assistant, this skill ensures your RAG implementation follows production best practices.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/eddiebe147/claude-settings --skill rag pipeline builder- Category
- {}Data Analysis
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is rag pipeline builder?
Build retrieval-augmented generation systems that ground LLM responses in your data Source: eddiebe147/claude-settings.
How do I install rag pipeline builder?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/eddiebe147/claude-settings --skill rag pipeline builder Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/eddiebe147/claude-settings
Details
- Category
- {}Data Analysis
- Source
- skills.sh
- First Seen
- 2026-02-01