pgai_rails

Rails integration for TimescaleDB's pgai PostgreSQL extension.

⚠️ This gem is in early development and not yet ready for production use.

About

pgai_rails provides Rails-native integration with TimescaleDB's pgai extension, making AI-powered vectorization and semantic search simple and intuitive in Rails applications.

Transform complex pgai SQL operations into familiar Rails patterns:

# Instead of complex SQL vectorizer setup
class Post < ApplicationRecord
  include PgaiRails::Vectorizable

  vectorize :content, model: 'nomic-embed-text'
end

# Simple semantic search
Post.semantic_search("machine learning")

Installation

Add to your Gemfile:

gem 'pgai_rails'

Requirements

• Ruby >= 3.2.0
  
• Rails >= 7.1 (ActiveRecord, ActiveSupport, Railties)
• PostgreSQL with pgai extension installed
• TimescaleDB (optional but recommended)

Status

This gem is under active development. Current version is a placeholder to reserve the gem name.

Development

After checking out the repo, run bin/setup to install dependencies. Then, run rake spec to run the tests. You can also run bin/console for an interactive prompt that will allow you to experiment.

To install this gem onto your local machine, run bundle exec rake install. To release a new version, update the version number in version.rb, and then run bundle exec rake release, which will create a git tag for the version, push git commits and the created tag, and push the .gem file to rubygems.org.

Contributing

Bug reports and pull requests are welcome on GitHub at https://github.com/[USERNAME]/pgai_rails. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the code of conduct.

License

The gem is available as open source under the terms of the MIT License.

Code of Conduct

Everyone interacting in the PgaiRails project's codebases, issue trackers, chat rooms and mailing lists is expected to follow the code of conduct.