Back to Projects

Medical Chatbot RAG

Semantic medical chatbot using vector search and GPT reasoning.

HealthcareRAGVector Search

Problem

Patients often have questions about medications, symptoms, or health conditions but don't have immediate access to reliable medical information.

Solution

Built a semantic search system using Pinecone vector database combined with GPT-4 for generating contextually accurate medical responses.

Architecture

The system uses Pinecone for vector embeddings, LangChain for RAG orchestration, and OpenAI GPT for response generation, deployed on AWS EC2.

Tech Stack

PythonFlaskLangChainPineconeOpenAI GPTAWS EC2Docker

Key Challenges

  • Ensuring medical information accuracy
  • Handling sensitive health queries appropriately
  • Optimizing for low latency responses