Local cognitive search on a pdf file.
-
Updated
May 24, 2023 - Python
Local cognitive search on a pdf file.
Chatting with PDF documents using large language models (GPT)
RAG Pipeline with Groq/OpenAI LLM & HuggingFace Embeddings
Interactive PDF Chat Assistant built with Streamlit and LangChain. Upload PDFs and ask questions, receiving AI-powered answers based on document content, leveraging Groq, Hugging Face embeddings, and FAISS.
An AI-powered lazy study buddy that reads your messy notes (PDFs, PPTs, DOCX, images) and answers questions using Groq LLMs, sentence-transformers, and FAISS. Built with Streamlit for max chill. OCR included.
PDF-Chat is a streamlined document intelligence tool that transforms PDFs into interactive knowledge bases. Powered by Groq's high-performance LLMs and semantic search capabilities, it enables natural conversation with your documents, extracting insights through contextual question-answering.
Add a description, image, and links to the pdf-chat topic page so that developers can more easily learn about it.
To associate your repository with the pdf-chat topic, visit your repo's landing page and select "manage topics."