Category Archives: Vectors
We recently announced the winners of the MariaDB Python Hackathon. We sat down with the Innovation track second place winners to learn more about the team and their submission.
Sunny Kumar, Abhijeet Dhanotiya, Anuj Gupta, Tushan Kumar Sinha, and Anand Vyas developed Metadata-Hub, a multimodal semantic search application using MariaDB Vector and OpenAI’s CLIP model. They were interviewed by Robert Silén, Community Advocate and Kaj Arnö, Executive Chairman of MariaDB Foundation. For the recorded interview, watch it on Youtube, or read the interview below.
Before we start, a short explanation:
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Last Saturday marked an exciting milestone: the announcement of the winners in our first large-scale MariaDB Python Hackathon, organised in collaboration with BangPypers, HackerEarth, and MariaDB plc. Over the past months, developers from across India have explored new ways to make MariaDB easier to use, more connected, and better integrated into today’s most important open-source ecosystems.
This post celebrates the outstanding contributions in both the Integration Track — projects that help MariaDB work seamlessly with other tools and frameworks – and the Innovation Track – projects that showcase existing MariaDB features and make it easy to learn, copy, and adapt.
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Continue reading “BangPypers x MariaDB Python Hackathon – Winners Announced!”
Not what AI can do for MariaDB – but what MariaDB can do for AI
I have hinted at this before (This Month in MariaDB – August 2025), but it deserves to be said again: our vision for MariaDB’s role in AI is both clear and ambitious. We do not simply want to participate in the AI space – we aim to be the bridge between real-world data and modern AI systems.
Large Language Models are, at their core, vast read-only neural networks. The data that organisations truly depend upon does not reside inside these models;
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Continue reading “MariaDB and AI: Building the Bridge That Really Matters”
Now is a good time to upgrade to the freshest MariaDB Server. MariaDB 11.8 is the yearly long term support release for 2025. It’s the first LTS with support for MariaDB Vector, and it includes a number of other updates based on user requests. You can seamlessly upgrade to MariaDB 11.8 from MariaDB 11.4 (the previous LTS) or any older release, back to MariaDB Server 10.0 or earlier, including most versions of MySQL Server.
MariaDB 11.8 LTS includes everything added since 11.4, incorporating changes from 11.5, 11.6, 11.7, as well as new features not released before.
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Last week we announced the winners of the MariaDB AI RAG hackathon that we organized together with the Helsinki Python meetup group. Now is time to go for a deep dive into the innovation track winner. Dymtro Abramov put together an end to end RAG application for making technical meetup videos searchable with semantic relevance (based on their caption texts). We were impressed by the idea and the implementation that is definitely beyond just a proof of concept for AI RAG with MariaDB Vector.
Dmytro, tell us about yourself and why you decided to join the Hackathon?
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We recently announced the winners of the MariaDB AI RAG hackathon that we organized together with the Helsinki Python meetup group. Let’s deep dive into the integration track winner. David Ramos chose to contribute a MariaDB integration for MCP Server. MariaDB plc was impressed by the results and has picked it up for further development with more features.
David, tell us about yourself and why you decided to join the Hackathon?
I am an aspiring Data Scientist from Colombia. I studied Physics in college, but by the time I graduated, I realized what I enjoyed the most was working with data and programming, so I decided to make the shift to Data Science.
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The Helsinki Python meetup on Tuesday 27th May was hosted by MariaDB Foundation with nearly 100 participants of the 2600+ members of the Helsinki python meetup community.
In addition to being a successful opportunity to mingle and learn python together, we finally got to announce the winners of the MariaDB AI RAG Hackathon! (winners posing in the feature photo of the blog)
Presentations: AI and MariaDB
We welcomed participants of the meetup with a brief introduction to what MariaDB is as a software, and the sponsoring parties: MariaDB Foundation, Open Ocean Capital and verkkokauppa.com.
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Continue reading “Helsinki Python meetup with AI RAG and MariaDB Foundation”
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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