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# Ruby Pinecone

A Ruby gem for semantic search using Pinecone and OpenAI API. This gem provides out-of-the-box functionality for generating vectors using the OpenAI API's text-embedding-ada-002 model and uploading them to Pinecone for efficient semantic search. It also includes features for querying existing vectors and retrieving relevant metadata. With this gem, developers can easily incorporate semantic search capabilities into their Ruby applications without needing to worry about the underlying implementation details.

## Installation

Install the gem and add to the application's Gemfile by executing:

    $ bundle add ruby-openai-pinecone

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

    $ gem install ruby-openai-pinecone

## Usage

You can find instructions here - ruby-openai-pinecone/examples/test.rb

## 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.

## Contributing

Bug reports and pull requests are welcome on GitHub at https://github.com/mcheemaa/ruby-openai-pinecone. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the [code of conduct](https://github.com/mcheemaa/ruby-openai-pinecone/blob/master/CODE_OF_CONDUCT.md).

## License

The gem is available as open source under the terms of the [MIT License](https://opensource.org/licenses/MIT).

## Code of Conduct

Everyone interacting in the Ruby::Pinecone project's codebases, issue trackers, chat rooms and mailing lists is expected to follow the [code of conduct](https://github.com/mcheemaa/ruby-openai-pinecone/blob/master/CODE_OF_CONDUCT.md).

Version data entries

1 entries across 1 versions & 1 rubygems

Version	Path
ruby-openai-pinecone-0.1.1	README.md