Vet-GPT

A veterinary assistant application that uses AI to answer questions based on veterinary information.

Overview

Vet-GPT combines:

• A FastAPI backend for handling queries
• Vector database (Qdrant) for efficient information retrieval
• LLM (Phi-3-mini) for generating accurate responses

Quick Start

1. Install dependencies:

   pip install -r requirements.txt
   

2. Start the Qdrant vector database:

   docker-compose up -d
   

3. Run the application:

   python main.py
   

4. Send queries to the API endpoint at /q

Project Structure

• main.py: FastAPI application for handling queries
• ingest/: Scripts for ingesting veterinary data
• db/: Database connection utilities
• models/: LLM model files
• resources/: Veterinary information resources