Custom RAG Chatbots with Specialized Data and Vector Database

Developed multiple Retrieval-Augmented Generation (RAG) chatbots tailored for companies and specific tasks, each utilizing custom data, embeddings, and vector databases for precise and contextually rich responses. Built with a Flask backend, these chatbots are designed to deliver efficient, specialized support and insights based on highly relevant datasets, enabling effective and targeted interaction for users.