Category Archives: Gen AI
I think you’ve come to expect that every collaboration with Intel leads to meaningful, well-executed projects that bring great value to the community. This time, we’re spreading our wings towards empowering enterprises to deploy AI solutions, and we’re excited to show how MariaDB Vector fits into the Open Platform for Enterprise AI (OPEA).
🤖 Open Platform for Enterprise AI
The Open Platform for Enterprise AI, or simply OPEA, is a new sandbox-level project within the LF AI & Data Foundation where Intel plays a pivotal role in its active development and once again it shows its strong commitment to open-source innovation.
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On Monday we had our final submission day for the MariaDB AI RAG Hackathon. We got several high quality replies in both tracks: integration and innovation.
The quality was so high that we are keen to replicate this hackathon in other locations and are currently looking for cooperation partners. We are truly grateful to the Helsinki Python meetup group without which this would not have been possible. They have a great community, organise excellent events, and played a key role in making the hackathon happen.
We are now reviewing the submissions together with the Helsinki Python meetup group.
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Continue reading “Impressive Submissions at the MariaDB AI RAG Hackathon”
We at MariaDB Foundation are thrilled to see Amazon at the forefront of applying artificial intelligence to open source contributions — with MariaDB as their pilot.
At the May 6th MariaDB meetup in Bremen, Bardia Hassanzadeh, PhD, presented the Upstream Pilot tool: an AI-based assistant designed to help developers identify, analyze, and resolve open issues in MariaDB more effectively.
This initiative is the most promising we’ve seen for improving the open source contribution process. Bardia and Hugo Wen of Amazon gave us a preview last week and we were already very impressed.
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Continue reading “Amazon’s AI-agents for MariaDB Contributions”
I had the delight of being accepted to talk about “Making AI transparent with RAG on your own data” at foss-north 2025 in Gothenburg, Sweden. On April 14th at Chalmers University, I got to share with a full room on how AI RAG is done with MariaDB Vector, kicking off with a use case about scaling Wikipedia editing with GenAI.
Improving Wikipedia with RAG
I presented a use case example from my experience of editing Wikipedia at scale with GenAI for non-profit Projekt Fredrika.
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Continue reading “MariaDB Vector and RAG at foss-north 2025”
We had the pleasure on Friday to take individual calls with everybody who submitted to the ideation phase of the MariaDB AI RAG hackathon.
The ideation phase deadline passed last week, and we are happy to share that we received several promising submissions for both the innovation track and the integration track. Innovation involves applications using MariaDB Vector, like RAG, and integration being enabling MariaDB Vector in an existing framework.
Participants range from individual contributors to even a corporate team. Some already have some experience with AI, and some are newcomers to RAG.
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The ideation phase of the MariaDB AI RAG Hackathon is nearing its deadline on Monday (by end of March).
We have several cool submissions so far. One is about combining the Knowledge Graph and LLMs, using MariaDB Vector Nearest Neighbour Search. Another one is about an “advanced context diff”, identifying the differences between two text corpuses based not on their literal wording, but on their content.
All of the current submissions are in the Innovation track. We would particularly like submissions in the Integration track – to add MariaDB to frameworks such as these, or other apps.
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One week left to join the AI RAG Hackathon with MariaDB Vector and Python!
Winners get to demo at the Helsinki Python meetup in May, receive merit and publicity from MariaDB Foundation and Open Ocean Capital, and prizes from Finnish verkkokauppa.com.
To participate, gather a team (1-5 people) and submit an idea by the end of March for one of the two tracks. You then have until May 5th to develop the idea before the meetup 27th May.
- Integration track: Enable MariaDB Vector in an existing open source project or AI-framework.
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We are excited to announce a hackathon with MariaDB Vector and Python. Since we are reaching outside our bubble, let’s start from the beginning:
MariaDB, the open-source database powers the world’s most demanding applications, from Wikipedia to global financial institutions. Now MariaDB Vector is bringing AI-ready vector search natively into the open-source database world. MySQL users ahoy:
Our hackathon is your chance to explore AI possibilities with MariaDB Vector and Python. Whether you’re a developer, data scientist, or AI enthusiast, MariaDB Foundation invites you to build innovative AI applications, compete for prizes, and showcase your work.
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Continue reading “Join our AI Hackathon with MariaDB Vector”