pgvector-gleam

• Website/Source: https://github.com/pgvector/pgvector-gleam
• Category: SDKs & Libraries
• Brand: pgvector
• Language/Runtime: Gleam
• Use case: Vector similarity search in PostgreSQL from Gleam applications

Description

pgvector-gleam is a Gleam-language client and example set for using the pgvector PostgreSQL extension. It demonstrates how to store and query vector embeddings in PostgreSQL from Gleam, enabling vector similarity search and related operations. The library provides examples that work with the pog Gleam PostgreSQL library.

Features

• pgvector integration for Gleam

  • Example code for interacting with the pgvector PostgreSQL extension from Gleam.
  • Shows how to define and work with vector columns in PostgreSQL tables.

• Supports pog database library

  • Works with the pog Gleam PostgreSQL client.
  • Provides a full example file (src/pgvector.gleam) demonstrating usage with pog.

• Database setup guidance

  • Steps to enable the pgvector extension in PostgreSQL.
  • Example schema definitions to create tables with vector columns.

• Vector operations workflow

  • Examples for inserting vectors into PostgreSQL.
  • Queries to retrieve nearest neighbors using pgvector’s similarity search.
  • Instructions for adding an approximate index to accelerate similarity search.

• Distance and similarity operators

  • Usage of vector_ip_ops for inner product similarity.
  • Usage of vector_cosine_ops for cosine distance / similarity.

• Build & CI ready

  • GitHub Actions workflow for building and testing the project.
  • Configured with gleam.toml and standard project structure under src/.

• Open source project structure

  • Includes license file (LICENSE.txt).
  • Contribution guidelines encouraged via the repository (issues/PRs).

Pricing

• Not applicable – this is an open-source GitHub repository. No pricing information is provided.