Chat with your pdf using your local LLM, OLLAMA client.
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Updated
Oct 17, 2024 - TypeScript
Chat with your pdf using your local LLM, OLLAMA client.
AI-driven document chat app. Engage in dynamic conversations with PDFs using Langchain, ChromaDB, Sentence Transformers, and Streamlit. Gain insights interactively.
Chat with documents using GPT, Langchain & Pinecone! (React UI & Python Fastapi)
An advanced AI-powered Streamlit application that transforms how you interact with PDF documents. Perfect for students, researchers, and professionals who need to extract insights, generate summaries and create study materials from their documents.
Jarvis 🤖: A RAG (Retrieval-Augmented Generation) based virtual assistant which uses websites as source of information before generating a response.
Docsy AI transforms your static PDF documents into interactive, intelligent assistants. Simply upload a PDF and start chatting — ask natural questions, get instant summaries, and extract key insights from complex content with ease using an AI-powered interface.
An intelligent document analysis platform
Chat with Document is an web-application deployed using streamlit which interacts with uploaded document then give answer to the question related to document; working based on the pre-trained Large Language Model as Impira.
This Streamlit application allows users to upload multiple files (PDFs, DOCX, HTML, and images) and extract text from them. The extracted content is processed into text chunks, embedded into a FAISS vector store, and used for question-answering with the help of the Meta AI API.
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