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)

Chat locally with any PDF Ask questions, get answer with usefull references Work well with math pdfs (convert them to LaTex, a math syntax comprehensible by computer)

Jarvis 🤖: A RAG (Retrieval-Augmented Generation) based virtual assistant which uses websites as source of information before generating a response.

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.

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.