rag pipeline builder
✓構建檢索增強生成系統,將 LLM 響應融入您的數據中
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.
可引用資訊
為搜尋與 AI 引用準備的穩定欄位與指令。
- 安裝指令
npx skills add https://github.com/eddiebe147/claude-settings --skill rag pipeline builder- 分類
- {}資料分析
- 認證
- ✓
- 收錄時間
- 2026-02-01
- 更新時間
- 2026-02-18
快速解答
什麼是 rag pipeline builder?
構建檢索增強生成系統,將 LLM 響應融入您的數據中 來源:eddiebe147/claude-settings。
如何安裝 rag pipeline builder?
開啟你的終端機或命令列工具(如 Terminal、iTerm、Windows Terminal 等) 複製並執行以下指令:npx skills add https://github.com/eddiebe147/claude-settings --skill rag pipeline builder 安裝完成後,技能將自動設定到你的 AI 程式設計環境中,可以在 Claude Code 或 Cursor 中使用
這個 Skill 的原始碼在哪?
https://github.com/eddiebe147/claude-settings
詳情
- 分類
- {}資料分析
- 來源
- skills.sh
- 收錄時間
- 2026-02-01