HealthWise: AI-Powered Medical Chatbot with Llama 2

Abstract

This research paper presents the development of a medical chatbot utilizing cutting- edge technologies, specifically the Langchain framework and the Llama 2 language model, in conjunction with the PineCone database for efficient data storage and retrieval. The primary objective of this project is to create an intelligent conversational agent capable of providing reliable medical information, assisting users in symptom assessment, and guiding them towards appropriate healthcare resources. The integration of Langchain facilitates seamless interaction between the user interface and the underlying LLM, enabling natural language understanding and generation. Leveraging the advanced capabilities of the Llama 2 model ensures that the chatbot can engage in meaningful dialogues while maintaining context and relevance. Additionally, PineCone serves as a robust solution for managing and indexing medical data, enhancing the chatbot's ability to deliver accurate and context-aware responses. This study explores the design, implementation, and potential implications of our medical chatbot, contributing to the emerging field of AI-driven healthcare solutions and underscoring its role in improving patient engagement and access to medical advice. Keywords – Medical Chatbot, Langchain, Llama-2, Pine Cone, Natural Language Processing, Artificial Intelligence, Machine Learning, Generative Artificial Intelligence.