postgis_pgvector

🤖 This README was written by GPT-4. 🤖

Introduction

This project focuses on creating a Docker image that combines the functionalities of PostGIS and pgvector, offering an easy-to-use solution for working with spatial data and vector similarity in PostgreSQL. It is designed to be as simple as integrating any other PostgreSQL Docker image into your workflow.

Components

• PostGIS: An extension to PostgreSQL that allows it to store spatial data and perform spatial operations.
• pgvector: An extension for PostgreSQL designed for efficient similarity search in high dimensional vector spaces.

Dockerfile

The Dockerfile starts with the postgis/postgis:13-3.4 image and installs essential packages including build tools, PostgreSQL server development tools, and git. It then clones and installs pgvector. The Dockerfile is optimized to reduce the layer size by cleaning up after installations.

docker-compose.yml

docker-compose.yml sets up two services:

• postgis_pgvector: Builds the Docker image from the provided Dockerfile and sets up a volume for data persistence. It also configures the environment for PostgreSQL.
• pgadmin: Uses the dpage/pgadmin4:7.8 image for database management through a web interface. It also sets up a volume for pgAdmin data.

Usage

• Build and Run: Use docker compose up to build the image and run the containers.
• Accessing pgAdmin: Navigate to http://localhost:80 in your web browser. Default credentials are set in the docker-compose.yml file but can be overridden with environment variables.
• Connecting to the Database: Connect to your PostGIS-pgvector database using standard PostgreSQL connection methods. Default database details are provided in the docker-compose.yml.

Customization

• Environment Variables: Set POSTGRES_PASSWORD, POSTGRES_DB, PGADMIN_DEFAULT_EMAIL, and PGADMIN_DEFAULT_PASSWORD in your environment or directly in the docker-compose.yml.
• Ports and Volumes: Modify ports and volume bindings in docker-compose.yml as per your requirements.

Notes

• Ensure Docker and Docker Compose are installed on your system.
• The image can be customized further by modifying the Dockerfile and docker-compose.yml as needed.
• This image is currently intended for development and testing purposes.
• For production use, consider securing your database and pgAdmin with stronger passwords and appropriate network settings.

Contributing

Your contributions are welcome! To contribute, please follow the standard fork and pull request workflow.

License

This project is licensed under the MIT License.