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Chat with Your Data ·Easy

Chat With PDF

About this app

LLM app with RAG to chat with PDF in just 30 lines of Python Code. The app uses Retrieval Augmented Generation (RAG) to provide accurate answers to questions based on the content of the uploaded PDF.

  • Complete open-source code
  • Step-by-step tutorial
  • Runs on your computer

Technical sheet

Category
Chat with Your Data
Difficulty
Easy
Models
OpenAI, Llama
Frameworks
Ollama (local)
Runs locally?
Yes (Ollama)
Required keys
None

License Apache-2.0 · content curated and maintained by Doutor AI.

Full tutorial

📄 Chat with PDF

🎓 FREE Step-by-Step Tutorial

👉 Click here to follow our complete step-by-step tutorial and learn how to build this from scratch with detailed code walkthroughs, explanations, and best practices.

LLM app with RAG to chat with PDF in just 30 lines of Python Code. The app uses Retrieval Augmented Generation (RAG) to provide accurate answers to questions based on the content of the uploaded PDF.

Features

  • Upload a PDF document
  • Ask questions about the content of the PDF
  • Get accurate answers using RAG and the selected LLM

How to get Started?

  1. Clone the GitHub repository
git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
cd awesome-llm-apps/chat_with_X_tutorials/chat_with_pdf
  1. Install the required dependencies
pip install -r requirements.txt
  1. Get your OpenAI API Key
  • Sign up for an OpenAI account (or the LLM provider of your choice) and obtain your API key.
  1. Run the Streamlit App
streamlit run chat_pdf.py

Interactive Application Demo

https://github.com/Shubhamsaboo/awesome-llm-apps/assets/31396011/12bdfc11-c877-4fc7-9e70-63f21d2eb977

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