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We Built Raggenie in 7 Days and Won the Falcon LLM Hackathon (lablab.ai)
3 points by ashmil 16 days ago | hide | past | favorite | 2 comments



Last month, our team dove headfirst into the Falcon LLM hackathon with a idea: to build a low-code RAG (Retrieval-Augmented Generation) builder that small teams and businesses could use to create custom AI tools with their own data.

We called it RAGGENIE ( inspired by the magical Genie from Disney who could create things with a snap) , and with just five days on the clock, we knew we had to move fast. The result? A fully functional prototype that not only worked but also impressed the judges enough to win us first place!

RAGGENIE is designed to simplify the process of building RAGs, providing a low-code environment that makes it accessible even to those without deep technical expertise. The goal is to empower more teams to leverage AI in ways that are tailored to their unique needs.

But we’re not stopping here. We're now turning RAGGENIE into a full-fledged MVP, and in the spirit of collaboration and innovation, we plan to open-source it within the next two weeks.


Wow, incredible work!RAGGENIE is set to revolutionize how we create custom AI tools with its low-code approach. Congratulations on winning first place at the hackathon!

Excited to see the MVP and open-source release—this is going to be a game-changer for businesses looking to leverage AI easily without deep technical expertise.




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