Author Archives: Robert Silén
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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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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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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At MariaDB Day in February in Brussels, VP Engineering Vicențiu Ciurbaru delivered an inspiring presentation titled “Launch Your Open Source Career: First Steps in Contributing to MariaDB.”
In the spirit of the recent positive stats on new contributions to MariaDB, let me recap Vicentiu’s tips for anyone looking to make their first contribution.
Contributing to MariaDB is not only about writing code—it’s about joining a vibrant community where every contribution, big or small, drives innovation. We hope newcomers can see a tangible path to getting involved.
How to start contributing?
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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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MariaDB has had a voting feature in its issue tracker Jira since the dawn of time, but it hasn’t got much active attention. Despite that, there are now many Jira community items that have collected a fair amount of votes over the years.
Many items are now in limbo—not on the MariaDB road map, but not rejected either. We would like to better understand how to act on these.
More votes, and preferably more detailed comments on syntax and desired functionality or insights on use cases, would help the MariaDB Foundation and Corporation a lot in deciding what to do and how to prioritize resources.
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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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