The Advanced RAG Chatbot is a GPU-powered PDF question-answering system using Mistral (via Ollama), semantic search, and a Streamlit interface for accurate, interactive responses and exportable chat history.

A simple PDF AI chatbot which runs locallly on your machine with streamlit UI

Content Engine is RAG system that analyzes and compares multiple PDF documents, specifically identifying and highlighting their differences. The system will utilize Retrieval Augmented Generation (RAG) techniques to effectively retrieve, assess, and generate insights from the documents.

LLM based PDF Chatbot

PDF Chatbot capable of answering your questions from a PDF.

An intelligent document analysis platform

Chat with your PDFs using PDFPal! Built with Streamlit, LangChain, Amazon Bedrock, and S3, this app lets you upload, process, and interact with PDF content using RAG-powered chat. Includes admin and user interfaces, vector storage, and Docker support.

talk2pdf is an AI-powered application that enables seamless, multilingual voice and text interaction with your PDFs. It combines advanced retrieval-augmented generation (RAG), Gemini AI, and speech APIs to support natural, conversational, and voice-based queries in multiple languages, making document exploration simple and interactive.

An LLM-powered augmented generation suite leveraging LangChain, Ollama, and vector databases to enhance response quality through caching, contextual memory, and retrieval-based methods. This collection of Jupyter notebooks showcases modular techniques for building intelligent, memory-efficient generative systems with real-time semantic awareness.

A simple chatbot that answers questions based on a PDF book. It extracts text, stores structured knowledge using Neo4j, and retrieves relevant information using a large language model (LLM).

DocQuery AI is a Retrieval-Augmented Generation (RAG) system that allows users to chat with their PDF documents using Google's Gemini Pro LLM and LangChain.

This is my very First LLM Project. The project is mainly based on Streamlit , Gemini , LangChain. You can give a try using the link below. 🤠

AI-powered PDF chatbot built using RAG (Retrieval-Augmented Generation), LangChain, FastAPI, and HuggingFace models to answer questions from uploaded documents.

🌐 Interact with PDFs using chat or voice in multiple languages, powered by advanced AI for seamless communication and understanding.