RAG QnA Chatbot

With this RAG (Retrieval-Augmented Generation) application, you can quickly deploy a chatbot that is enhanced by your own data. By simply uploading any PDF file(s) of your choosing, you will be creating your own custom Questions and Answers (QnA) chatbot.

Getting Started

• Navigate to the “Train” tab above.
• Here you can upload any number of PDF files you wish to ask the chatbot about, or that you wish the chatbot would consider when providing an answer.
• After uploading your files, navigate to “QnA” tab.
• In the prompt, you can now ask questions about the uploaded PDF files in natural language, and receive a response.

This application leverages MongoDB's robust vector store capabilities. Each uploaded PDF is embedded in a vectorized format into your MongoDB Atlas cluster. The vector store efficiently organizes and indexes data, streamlining the process of generating responses and insights from the RAG model.