Ollama PDF RAG Documentation

Welcome to the documentation for Ollama PDF RAG, a powerful local RAG (Retrieval Augmented Generation) application that lets you chat with your PDF documents using Ollama and LangChain.

Overview

This project provides both a Streamlit web interface and a Jupyter notebook for experimenting with PDF-based question answering using local language models. All processing happens locally on your machine, ensuring privacy and data security.

Key Features

• 🔒 Fully Local Processing: No data leaves your machine
• 📄 PDF Processing: Intelligent chunking and processing of PDF documents
• 🧠 Multi-query Retrieval: Better context understanding through multiple query generation
• 🎯 Advanced RAG: Sophisticated implementation using LangChain
• 🖥️ Clean Interface: User-friendly Streamlit interface
• 📓 Experimentation: Jupyter notebook for testing and development

Quick Links

• Installation Guide
• Quick Start Tutorial
• User Guide
• API Reference
• Contributing Guide

Project Status

Support

If you need help or want to contribute:

• 🐛 Report a bug
• 💡 Request a feature
• 🤝 Contribute to the project

License

This project is open source and available under the MIT License.