RAG Scaffold Skill
CommunityGenerate RAG boilerplate code instantly.
Authordavicqueiroz
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the creation of production-ready Retrieval-Augmented Generation (RAG) pipeline boilerplate code, ensuring best practices are incorporated from the start.
Core Features & Use Cases
- Scaffolds RAG Projects: Generates project structure, configuration files, and core logic for various RAG frameworks.
- Supports Multiple Stacks: Offers choices for frameworks (LangChain, LlamaIndex, Vanilla), vector stores (Qdrant, Pinecone, ChromaDB), and LLM providers (OpenAI, Anthropic, Mistral).
- Use Case: When starting a new RAG project, use this skill to quickly generate a well-structured Python project using LangChain, Qdrant, and OpenAI, complete with configuration and indexing scripts.
Quick Start
Use the rag-scaffold skill to generate a Python + LangChain + Qdrant + OpenAI RAG project.
Dependency Matrix
Required Modules
openaiqdrant-clientlangchainlangchain-text-splitterstiktokenpydantic-settingspython-dotenvhttpx
Components
scriptsreferences
💻 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 Scaffold Skill Download link: https://github.com/davicqueiroz/claude-rag-skills/archive/main.zip#rag-scaffold-skill Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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