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RAG Chatbot Integrator

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Textbook-grounded Q&A with streaming RAG chat.

Education & Research#OpenAI#embeddings#rag#streaming#textbook#chatbot#vector-search
Authorhamzashakoor119
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill enables the creation of a Retrieval-Augmented Generation (RAG) chatbot that answers exclusively from the Physical AI textbook content, eliminating reliance on external knowledge sources and ensuring citation-backed responses.

Core Features & Use Cases

  • Textbook-only responses: answers are grounded in chapters and sections of the textbook.
  • Selection-based queries: users can highlight text and ask context-specific questions, with strict mode ensuring only selected content is used.
  • Streaming responses: real-time token streaming via Server-Sent Events for a responsive chat experience.
  • Multi-language context: English by default with optional Urdu translation support, while preserving technical terms.

Quick Start

Start the backend and frontend servers, then open the chat widget and ask textbook-based questions.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 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 Chatbot Integrator
Download link: https://github.com/hamzashakoor119/Physical-AI-Robotics-Book/archive/main.zip#rag-chatbot-integrator

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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