Category Archives: Vectors
I suppose not all of my readers have a first hand (or even second hand) experience of the girls-night-in. So let me shed some light on this sacred ritual of tea, sympathy and soul-baring conversation that zigzags from the ridiculous to the profound and back again in under 30 seconds.
There a few eternal mysteries that always seem to come up –
Like:
“Why do I have nothing to wear when my wardrobe is clearly full of clothes?”
And:
“Why does cat food smell weirdly delicious?”
(Okay, I do know the answer to that one: stop crash-dieting already!
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Continue reading “The Queen, the contributions and the wardrobe”
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”
This past Friday was reserved for our very own cozy event in Bucharest, planned by the romanian squad of the MariaDB Foundation. With an audience ranging from students just starting out on their journey up to seniors with experience in multiple database servers and AI, lots of interesting talks took place. We were glad to meet the Head of Domains and IT Technology of our gold sponsor, IONOS.
Although not his first visit in Romania, Monty’s attendance was a welcome sight, even bringing in people from the Czech Republic and the United Kingdom.
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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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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”
Confirming what you probably already expected: MariaDB Server 11.8 will be a long-term support release.
Now a Release Candidate – GA in May
With MariaDB Vector as the lead new feature, MariaDB 11.8 succeeds the previous LTS MariaDB 11.4 from a year ago.
As of now, MariaDB 11.8 is at the Release Candidate stage, with GA planned for May.
Lots of new features since MariaDB 11.4
MariaDB 11.8 has about 60 features, large and small, on top of the previous LTS, MariaDB 11.4. At our recent MariaDB Day on 1 Feb 2025 in Brussels, MariaDB Corporation Chief Architect Sergei Golubchik gave an overview of 11.8.
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