ChatPDF enables users to interact with PDF documents using AI, allowing for instant answers, information extraction, and summarization with source attribution. It targets users who need to quickly query and understand the content of PDF files without manual reading.

How It Works

The project leverages large language models (LLMs) to process PDF content. Users upload documents, which are then parsed, embedded, and stored. When a query is made, the system retrieves relevant document chunks based on semantic similarity and feeds them to the LLM to generate an answer, including citations to the original sources.

Quick Start & Requirements

• Install dependencies: pip install -r requirements.txt
• Set environment variable: OPENAI_API_KEY
• Run application: python main.py
• Streamlit app: streamlit run streamlitui.py
• Requires Python 3.x and an OpenAI API key.
• Tutorial: https://www.youtube.com/watch?v=3aRc1ijrTVs
• Demo: https://heybot.thesamur.ai/

Highlighted Details

• "Less than 10 lines of code" for creating similar apps.
• Includes source attribution for AI-generated answers.
• Offers additional related projects: Chat with Website, Chat with CSV, Chat with YouTube, ChatGPT in Discord.

Maintenance & Community

The project is maintained by Anil Chandra Naidu Matcha, with updates announced on Twitter and YouTube tutorials available at https://www.youtube.com/@AnilChandraNaiduMatcha. Replit and Streamlit versions are planned.

Licensing & Compatibility

The repository does not explicitly state a license in the provided README. Users should verify licensing for commercial or closed-source use.

Limitations & Caveats

The README indicates that "Things might change based on OS," suggesting potential platform-specific setup challenges. The project is presented as a demonstration of rapid development, and its robustness for production environments is not detailed.