This is a simple implementation of medical chatbot deployed in Heroku. Flask integration from Python was used to develop the website.
Meanwhile, the Chatbot is powered by Retrieval Augmented Generation concept. It utilized OpenAI embedding and LLM for vector embedding conversion and generation. Lastly, Pinecone database were used for storing vector embeddings in the cloud.
The book used is the 3rd edition of Gale Encyclopedia of Medicine.