Module 1: Project setup

This module covers the environment setup for the Vector DB Movie Demo.

You pick a sentence embedding model and match the vector_db_extension dimensionality to it. Then you configure the Rell backend, deploy it to the Chromia testnet, and prepare your Python environment.

When you finish, your backend runs on testnet and your Python scripts are configured, so you can move on to working with data in the next module.