Showcase how to implement a vectorized search using PostgreSQL and Python.

• Docker-compose setup for PostgreSQL with pgvector extension
• Python code to insert data into the database
• Python code to create a vectorized search using pgvector

1. Clone this repository to your local machine.
2. Install the required dependencies using the following command:

   pip install -r requirements.txt

3. Run the following command to set up the database (you have Docker installed, right?)

   docker-compose up -d

4. Run the script add_test_data.py to insert some data into the database:
5. Run the script test_search.py to test a vectorized search.