rag_skill
CommunityBuild AI chatbots for docs
Authorbilalmk
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the challenge of making documentation sites interactive and searchable by providing an AI-powered chatbot that can answer user questions based on the site's content.
Core Features & Use Cases
- RAG Chatbot Implementation: Build and integrate production-ready Retrieval-Augmented Generation (RAG) chatbots.
- Full Stack Solution: Covers backend API (FastAPI, OpenAI, Qdrant, Neon Postgres) to frontend UI integration (React/TypeScript for Docusaurus).
- Use Case: Integrate a chatbot into your project's documentation to allow users to ask natural language questions about features, setup, and usage, receiving answers directly sourced from the documentation.
Quick Start
Use the rag_skill to integrate a RAG chatbot into your Docusaurus documentation site.
Dependency Matrix
Required Modules
fastapiuvicornpython-dotenvopenaiqdrant-clientpsycopg2-binarysqlalchemypydanticpydantic-settingspython-multipartmarkdownbeautifulsoup4tiktoken
Components
scriptsreferencesassets
💻 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_skill Download link: https://github.com/bilalmk/ai-native-book/archive/main.zip#rag-skill Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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