document-chatbot

A Langchain app that allows you to chat with multiple PDFs

Production-ready Generative AI RAG system that enables intelligent document querying using LangChain, Gemini LLM, FAISS vector search, and HuggingFace embeddings with source-aware responses.

chatPdf is an AI-powered document Q&A system that allows users to upload PDF, PPTX, or DOCX files, ask questions, and receive comprehensive answers based on the document's content.

AI-powered document chatbot built with Streamlit and Google Gemini. Supports PDF, DOCX and PPTX files.

Chat with your PDF, Word, and PowerPoint documents using Retrieval-Augmented Generation (RAG) with LangChain, Ollama (Mistral), and Streamlit

SparkDocs is an AI-powered document Q&A system that allows users to upload PDF, PPTX, or DOCX files, ask questions, and receive comprehensive answers based on the document's content.

Fully local Retrieval-Augmented Generation (RAG) chatbot powered by FAISS vector search and Ollama LLMs. Supports PDF, TXT, and Markdown ingestion, fast similarity search, model switching, and intelligent document-aware Q&A. Everything runs locally with zero external API calls, wrapped in a clean Streamlit interface.

AI-powered document chatbot using RAG

Built an AI-based multi-document chatbot using Retrieval-Augmented Generation (RAG) that enables conversational querying of PDFs with semantic search.

A Document ChatBot based on Conversational RAG(Retrieval-augmented generation) that retrieves and summarizes information from uploaded documents

RAG chatbot for answering questions about PDF reports using FAISS and Sentence Transformers

Use RAG with Langchain to chat with your data and display the retrieved source(s)

Self-hosted RAG workspace for document intelligence. Upload PDFs and DOCX files, ask questions, and get grounded answers with FastAPI, ChromaDB, and Groq.

Chat with annual reports and financial statements using LangChain, Redis Vector Store, and Streamlit — fully Dockerized RAG pipeline

AI-powered Document Question Answering System using Llama 3, LangChain, FAISS and Streamlit.

AI-powered document question answering system using Retrieval-Augmented Generation (RAG). Upload PDFs, retrieve relevant content using embeddings + FAISS, and generate contextual answers with Gemini LLM using Streamlit.

AI-powered document chatbot that converts PDFs, DOCX, PPT and images into an interactive study assistant using LangChain, FAISS, and Google Gemini.

Advanced RAG-based AI chatbot for conversational question answering over multiple PDF documents using semantic search, ChromaDB, Sentence Transformers, and Ollama.

AI-powered RAG Document Chatbot using LangChain, ChromaDB, Google Gemini Embeddings, Groq Llama 3.3 70B and Streamlit.

AI-powered RAG document chatbot using FastAPI, ChromaDB, hybrid retrieval, Google Gemini, OCR, and Docker.