A Langchain app that allows you to chat with multiple PDFs
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Updated
Oct 1, 2024 - Python
A Langchain app that allows you to chat with multiple PDFs
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.
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.
Chat with your PDF, Word, and PowerPoint documents using Retrieval-Augmented Generation (RAG) with LangChain, Ollama (Mistral), and Streamlit
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.
Use RAG with Langchain to chat with your data and display the retrieved source(s)
Chat with annual reports and financial statements using LangChain, Redis Vector Store, and Streamlit — fully Dockerized RAG pipeline
A Document ChatBot based on Conversational RAG(Retrieval-augmented generation) that retrieves and summarizes information from uploaded documents
Your own personal AI assistant for files (PDF/CSV/PPTX) — upload, ask, and chat with your documents using LLaMA + FAISS!
A lightweight Retrieval-Augmented Generation (RAG) agent powered by Groq AI and local embeddings, built to process and understand text data efficiently. It retrieves relevant context from your own files and generates accurate, natural-language responses -all while keeping your data private and running locally.
📊 Transform financial reports into an AI-powered Q&A chatbot for accurate insights and citations, enhancing decision-making across industries.
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