Rubyrag

Seamlessly integrate Cloudflare AutoRag into your Ruby on Rails applications with this gem. It provides a simple and idiomatic Ruby interface for leveraging AutoRag’s automatic retrieval-augmented generation (RAG) pipeline—making it easy to connect your app’s data with powerful AI models using Cloudflare Workers and Vectorize.

bundle add rubyrag

If bundler is not being used to manage dependencies, install the gem by executing:

gem install rubyrag

Setup Cloudflare Autorag Get API keys for R2 Get API keys for AI Setup rubyrag

client = Rubyrag.new(provider: :cloudflare_auto_rag,
                     bucket: "bucket_name",
                     access_key_id: "access_key_id",
                     secret_access_key: "secret_access_key",
                     r2_endpoint: "http://endpoint.com",
                     autorag_endpoint: "http://endpoint.com",
                     autorag_access_token: "autorag_access_token",)

# Add file to index
client.add(file_path: File.expand_path("file_with_text.txt", __dir__))

# Query the rag
client.query(query: "query")

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.

Bug reports and pull requests are welcome on GitHub at https://github.com/[USERNAME]/rubyrag.

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