ML Service with FastAPI

A minimal production-style ML service built with FastAPI, Docker, and CI/CD.

GenAI API Starter with FastAPI

This project sets up a basic FastAPI backend as a foundation for building GenAI-powered APIs. The goal is to integrate vector search (FAISS), Vertex AI, and CI/CD pipelines in upcoming stages.

---

$\checkmark$ Features (Day 1)

• FastAPI app with:
  • '/' -> Health check endpoint
  • '/ask' -> Accepts a query parameter and returns a placeholder response
• Auto-generated interactive API docs via Swagger UI ('/docs')

---

Requirements

• Python 3.9 +
• Conda or virtualenv
• Packages:
  • FastAPI
  • Uvicorn

Install dependencies: '''bash pip install -r requirements.txt