weviate vector search

A simple exploration of using Weaviate for vector search

To run this project locally:

• you will need a Weaviate db instance with API key and database URL saved as .env variables

1. Create and activate your virtual environment
2. Install requirements.txt file: pip install -r requirements.txt
3. Connect to the Weviate db: python open_db_connection.py. This should return TRUE in the console
4. Create a collection in your db using provided data: python build_collection.py
5. Insert data into your new collection: python insert_data.py
6. Query data by running: python queries.py

• The db connection can be stopped by running python close_db_connection.py