vanna VS openai-functools

vanna-ai is a pretty cool project that combines AI with database knowledge. SQLAI seems to be a small German company which specializes in this area. I will start exploring these in my free time.

Vanna is a Python framework that allows the training of an RAG model with queries, DDL, and documentation from a database.

I’m trying to solve for this with my project and (at least based on what people say in Discord), it’s working really well for them:

https://github.com/vanna-ai/vanna

This is a good idea. I think what you'd want to do is override the generate_sql function and store the question with the "related" metadata and the generated sql somewhere:

https://github.com/vanna-ai/vanna/blob/main/src/vanna/base/b...

We're going to be adding a generic logging function soon and fairly soon what you're talking about could just be a custom logger.

Website: https://vanna.ai

Oh man, I would love to compare notes.

I pivoted in the reverse direction from:

https://github.com/pycob/pyvibe

To

https://github.com/vanna-ai/vanna

Very cool! At first the title reminded me of a project me and my colleague are working on called OpenAI-Functools [1], but your concept is quite the opposite, combining LLMs in your code rather seamlessly instead of the other way around. Quite cool, and interesting examples :)

I’ll definitely try to apply it in one of my pet projects. Good stuff

[1] https://github.com/Jakob-98/openai-functools

Easily generate function metadata (json) automatically for GPT function calling: https://github.com/Jakob-98/openai-functools

My colleague and I have been working on this tool and using it in some internal projects. It works quite well as an intent->functions machine, and makes the process of invoking functions with GPT a lot more bearable. We hope to make it a library which does one thing so great that it will be the industry standard in its niche, so looking for some feedback on the documentation and use.