This pull request introduces a Retrieval-Augmented Generation (RAG) system designed to answer pharmacological questions about drug interactions, mechanisms, and medication safety. This system simulates a clinical pharmacology assistant, capable of analyzing interactions between medications and explaining potential risks.

Knowledge Base:
The system uses structured markdown documents describing drug properties and interactions.
-Each document contains:
- drug class
- mechanism of action
- common uses
- side effects
- drug interaction sections
- clinical guidance

Implementation Details:
Data Ingestion Pipeline (ingest.py)

• The ingestion pipeline processes pharmacology documents and builds a vector database for semantic search.

Retrieval & Answer Generation (answer.py):

• This module implements the RAG reasoning pipeline.

User Interface (app.py):
The application provides a simple Gradio-based interface.

• Features include:
  • Interactive Chat
  • Users can ask pharmacology questions, such as:
    • "Can metformin interact with propranolol?"
    • "Is warfarin safe with antibiotics?"
    • "What happens if insulin is used with corticosteroids?"

@iamumarjaved