pdfchatbot

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

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.

LLM based PDF Chatbot

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.

An intelligent document analysis platform

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.

PDF Chatbot capable of answering your questions from a PDF.

A multilingual, multimodal PDF RAG assistant that lets you ask questions about documents and get AI-powered answers with source citations.

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).

AI-powered PDF RAG Chatbot using Streamlit, ChromaDB, embeddings, and LLMs to retrieve relevant document content and answer questions from uploaded PDFs.

RAG-powered PDF Q&A chatbot using LangChain, FAISS, Hugging Face Embeddings, Groq API, Llama 3.1, and Streamlit.

A PDF Question Answering chatbot built with LangChain, FAISS, Hugging Face, and Streamlit using RAG

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. 🤠

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.