RAG Chatbot Microservice

Community

Turn PDFs and text into instant answers, powered by AI.

AuthorGaiKT
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill turns your PDFs and text documents into an AI-powered chatbot that can answer questions about the content.

Core Features & Use Cases

  • PDF to Text: Extract text from PDFs and Markdown files.
  • AI Chatbot: Generate answers to questions using the extracted text.
  • Use Case: With this Skill, you can create a chatbot that can answer questions about your company policies, product specifications, or any other document you have on hand.

Quick Start

Run the 'ingest.py' script to index your documents, then start the chat server with 'uvicorn main:app --reload' and ask questions through the terminal using 'python chat.py'.

Dependency Matrix

Required Modules

fastapiuvicornchromadbsentence-transformersgroqpypdfpdfplumberpython-dotenvhttpx

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 Chatbot Microservice
Download link: https://github.com/GaiKT/Simple-Rag-service/archive/main.zip#rag-chatbot-microservice

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