# MongoDB Vector Search Project

This project demonstrates how to use MongoDB with vector search capabilities in a Dockerized environment. It includes a FastAPI application that interacts with MongoDB to store and retrieve vectors.

## Setup

1. Clone the repository.
2. Create a `.env` file with the necessary environment variables.
3. Run `docker-compose up` to start the services.

## API Endpoints

- `POST /vectors/`: Create a new vector.
- `GET /vectors/{vector_id}`: Retrieve a vector by its ID.