Datapizza AI Framework
AI framework: open source, reliable, scalable & customizable
168 followers
AI framework: open source, reliable, scalable & customizable
168 followers
Datapizza AI Framework gives engineers full control to create trustworthy GenAI—without unnecessary complexity. Built for engineers who need flexibility and transparency, it fits your stack and lets you customize every layer, from model choice to deployment.
BeRoomie
Let's goooo Datapizza 🚀🚀
@giammi Thanks for the support!
Makers Page
Love the thin, modular approach. Tracing, structured logs, clear error handling, and swap-anything modules are exactly what production teams need. Open source, provider agnostic, close to SDKs, and already battle tested. Excited to try it on our next RAG. Congrats!
@alexcloudstar Thank you! That’s exactly the kind of use case we had in mind.
If you end up integrating it into your next RAG, we’d love to hear your thoughts or see a demo!
Congrats on launching Datapizza AI Framework, Federico & team! The focus on low abstraction and letting engineers swap out any module (chunking, embeddings, etc.) really addresses a major pain point with heavier frameworks. How did you decide on the right level of abstraction to keep it useful but still controllable?
The Datapizza framework is an incredible piece of work. We're using it within our AI outreach and experimentation group, also to help less nerdy people understand what an industrialized approach to GenAI means, with surprising results.