Development of a Virtual Assistant Powered by the GPT-4 language model

This project is an innovative initiative by Tall Tree Health to enhance the customer experience by integrating cutting-edge conversational Artificial Intelligence (AI) technologies. This question-answering (Q&A) chatbot responds to real-time queries, providing users with personalized guidance as they navigate the healthcare landscape offered by Tall Tree. The Retrieval Augmented Generation (RAG) technique is used to improve the accuracy and reliability of chatbot responses by fetching relevant and up-to-date information from the Tall Tree database.

Chatbot Application Development Overview

The application has been developed in pure Python. The back-end architecture has been built using LangChain, while the front-end, i.e., the chat interface, has been created with Streamlit. At the core of our chatbot lies OpenAI's GPT-4 (Generative Pre-trained Transformer 4), a state-of-the-art language model known for its advanced comprehension and generation capabilities. For storage of the embeddings and efficient similarity search, the Qdrant vector database is used. LangChain offers seamless integration with both the OpenAI API and Qdrant, ensuring a smooth workflow.

Note:

This AI assistant is designed to provide guidance and general information about the services offered by Tall Tree Health. It is not intended for seeking medical advice and should not be used as such. The information provided by this generative AI technology cannot replace the advice of qualified healthcare professionals.