Problem Statement:

Medical professionals need intelligent assistance for diagnosis support using comprehensive medical knowledge bases

Objective:

Develop Retrieval-Augmented Generation LLM solution using the Merck Manual for medical diagnosis assistance

Process Pipeline:

• Merck Manual knowledge base processing
• RAG pipeline implementation with LangChain
• Medical prompt engineering and optimization
• Google Colab deployment and testing

Technologies & Models:

LangChain, OpenAI API, RAG Pipeline, Prompt Engineering

Key Outcomes:

Medical knowledge retrieval, Diagnosis assistance accuracy, Healthcare workflow integration