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Implementation of website that allows users to easily create and interact with personalized chatbots, fostering dynamic conversations based on user-inputted data.
This repository presents a project focused on developing a high-precision legal expert LLM application called Contract Advisor RAG. The project's goal is to create a Retrieval Augmented Generation (RAG) system for Contract Q&A, enabling users to interact with contracts by asking questions and receiving accurate, context-rich responses.
Implementation of a Natural Disaster Chatbot Agent that utilizes tools (function calling) to invoke task specific knowledge bases and improve LLMs accuracy by proving live data.
A tool that allows users to engage in conversations about the contents of a website using the state-of-the-art RAG (Retrieval-Augmented Generation) technique. Simply input a website URL, and start chatting with our language model!