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Postgres

Upsert embedded data and perform similarity search upon query using pgvector on Postgres.

PreviousPineconeNextQdrant

Last updated 3 months ago

There are multiple methods to connect to Postgres based on how your instance is set up. Below is an example of a local configuration using a prebuilt Docker image provided by the pgvector team.

Create a file named docker-compose.yml with the content below:

# Run this command to start the database:
# docker-compose up --build
version: "3"
services:
  db:
    hostname: 127.0.0.1
    image: pgvector/pgvector:pg16
    ports:
      - 5432:5432
    restart: always
    environment:
      - POSTGRES_DB=api
      - POSTGRES_USER=myuser
      - POSTGRES_PASSWORD=ChangeMe
    volumes:
      - ./init.sql:/docker-entrypoint-initdb.d/init.sql

docker compose up to start the Postgres container.

Create new credential with the configured user and password:

Fill in the node's field with values configured in docker-compose.yml. For example:

  • Host: localhost

  • Database: api

  • Port: 5432

Voila! You have now successfully setup Postgres Vector ready to be used.

Postgres Node