ruby-openai VS langchainrb

What’s the relationship, if any, with https://github.com/alexrudall/ruby-openai ?

That gem is actively maintained and widely used. It’s a good gem! But by definition they’re always playing catch up.

If you are using Open AI's API, this tokenizer is more accurate than the one coming with `ruby-openai` gem.

ruby-openai

If you can just interact with OpenAI api directly without langchain then that eliminates need for python. Here’s a gem for interacting with the OpenAI api : https://github.com/alexrudall/ruby-openai

There is a gem developed by Alex - https://github.com/alexrudall/ruby-openai.

I've been playing with ruby-openai, a Ruby gem (ie, library) that interfaces with the OpenAI API. I'm building myself a small movie-recommendation tool, just a personal need, as well as to teach myself how this stuff works. It's unlikely I'll ever build it into a proper app, as I'm okay with interacting in the shell and with text files, versus a web-based thing. But if there's interest, I'll push my tool up to Github.

Can use https://github.com/alexrudall/ruby-openai to do this sort of thing also :)

8. LangChain RB | Github | tutorial

So I hooked up the Ruby on Rails langchainrb gem (https://github.com/andreibondarev/langchainrb) and it seems like the approach is to store the plane text entries as meta data on pinecone. I definitely DO NOT want to do this as the data is private and secure on my own DB.

langchain

I would suggest taking a look at Langchain.rb as well. Disclosure: I'm the core maintainer.

Is the emerging architecture made out to be more complicated than what most of the companies are currently building? Perhaps! But this is most likely the general direction where things will start trending towards as the auxiliary ecosystem matures.

Shameless plug: For fellow Ruby-ists we're building an orchestration layer for building LLM applications, inspired by the original, Langchain.rb: https://github.com/andreibondarev/langchainrb

I'm the author of Langchain.rb.