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Show HN: Datapizza AI – Lightweight open source framework for GenAI apps

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Re: Show HN: Datapizza AI – Lightweight open source framework for GenAI apps

#22

Post by f_raffoni »

martingrown wrote: post #9

Congrats on the launch! I'm a partner at VC(Bay Area) focused on open-source companies. Quick questions: any plans for a managed version? Would love to see your product roadmap. We're actively investing in this space, happy to chat in the next few days if you're interested.

Thanks a lot, really appreciate it! Yes, we’re considering a managed version — it’s something we’re actively exploring based on early user feedback. Happy to share more context and discuss our roadmap. Let’s stay in touch — feel free to reach out at ai.support@datapizza.tech

Re: Show HN: Datapizza AI – Lightweight open source framework for GenAI apps

#25

Post by LeCun98 »

Really good job! I have just finished a RAG for my business unit in my scale up. It took around 1 hours (considering also the deploy). I can define it as really easy to use. I just ask: can I contribute in such a way? Do you have any Discord platform I can join? And for more information can I contact you and your team? Can you provide an email? Thanks!

Re: Show HN: Datapizza AI – Lightweight open source framework for GenAI apps

#27

Post by f_raffoni »

LeCun98 wrote: post #25

Really good job! I have just finished a RAG for my business unit in my scale up. It took around 1 hours (considering also the deploy). I can define it as really easy to use. I just ask: can I contribute in such a way? Do you have any Discord platform I can join? And for more information can I contact you and your team? Can you provide an email? Thanks!

Thanks a lot, really glad to hear that! Yes, contributions are absolutely welcome — you can open PRs or issues directly on GitHub. You can find our discord server on the README! Feel free to reach out at ai.support@datapizza.tech

Re: Show HN: Datapizza AI – Lightweight open source framework for GenAI apps

#30

Post by antonellof »

I tried it and created a full RAG application very easily. I followed the examples in the online documentation and it was really a piece of cake. My previous implementation of RAG (without Datapizza) used direct libraries such as OpenAI, Sentence Transformers, etc. Instead, I find it very useful to have a “framework” where you already have everything. In the past, I played around with Langchain, but I find it really immense, as complete and large as it is complex and distracting.
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