langchain-chat is an AI-driven Q&A system that leverages OpenAI's GPT-4 model and FAISS for efficient document indexing. It loads and splits documents from websites or PDFs, remembers conversations, and provides accurate, context-aware answers based on the indexed data. Easy to set up and extend.

React app that highlights relevant segments in a PDF document based on user questions using natural language processing and AI context segmentation. A useful tool for quickly extracting information from large PDF documents.

React app that highlights relevant segments in a PDF document based on user questions using natural language processing and AI context segmentation. A useful tool for quickly extracting information from large PDF documents.

langchain-chat is an AI-driven Q&A system that leverages OpenAI's GPT-4 model and FAISS for efficient document indexing. It loads and splits documents from websites or PDFs, remembers conversations, and provides accurate, context-aware answers based on the indexed data. Easy to set up and extend.

Duke OpenAI Hackathon

A Python tool for extracting highlighted text from PDF files while preserving formatting attributes (headers, bold, italic) and removing unwanted line breaks and page breaks. Perfect for integrating with content management systems.

Duke OpenAI Hackathon

This repository contains code and resources for a question-answering bot using Langchain, FAISS, and Streamlit. The bot is designed to answer related to the questions based on a given dataset.

This repository contains code and resources for a medical question-answering bot using Langchain, FAISS, and Streamlit. The bot is designed to answer medical-related questions based on a given dataset.