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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One of the most fun and rewarding activities the past two-three months has been working with the participants in the Helsinki Python hackathon on MariaDB Vector. Robert already blogged about the outcome and the award winners. Let me reflect a bit more on the entire process, as it has inspired us to do more of the same: Scaling out from Finland to other hackathons.
The goal: MariaDB Vector contributions
Our goal was to solicit contributions related to MariaDB Vector, but we didn’t have precise ideas about exactly what type of contributions or how we should arrange the hackathon.
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Continue reading “Helsinki Python Hackathon – a role model for future MariaDB hackathons!”
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”
Legend says Queen Guinevere once presided over a court where knights debated honor and destiny. In my version, the knights bring code diffs, sponsorship agreements, and opinions on open source governance. There’s less jousting, more Zoom calls — and while I lack a crown, I do wield a formidable calendar and an unshakable belief in collaboration.
As I reflect on the May 2025 meeting of the MariaDB Foundation Board, one truth stands tall (in shining armor): the MariaDB kingdom is not divided. It is uniting.
Harmony in the Realm
The collaboration between MariaDB Foundation and MariaDB plc has never been more dynamic — or more impactful.
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Continue reading “The Round Table Expands: A Queen’s Reflections on Unity and Momentum”
We have long had a vision: that learning relational databases with MariaDB should be accessible to everyone — students, educators, and self-learners alike. Today, MariaDB Foundation and MariaDB plc together take a major step forward in realizing that vision.
A Shared Effort for Open Education
MariaDB plc has generously released substantial professional training materials for academic and other non-commercial usage under an open source license. These materials are now publicly available on our GitHub repository at https://github.com/MariaDB/mariadb-for-universities/, and also accessible in a reader-friendly format at https://uni.mariadb.org.
The materials are structured to guide users from beginner to intermediate levels, and are intended for incorporation into university courses or for self-paced study.
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Continue reading “Releasing MariaDB for Universities: Lecture Materials for a New Generation”
We welcome Senticore Technologies as a Silver Sponsor. Senticore, a leader in engineering and manufacturing applications, focuses on cutting-edge AI solutions, particularly for the aerospace and defense sectors, and powers critical systems worldwide. Senticore addresses these sectors’ concerns with locally deployed LLMs. Their platform integrates PDFs related to manufacturing, maintenance, and inspections processes into the digital thread. MariaDB supports their data-intensive workloads, crucial for high performance, reliability, and security, and its Vector capabilities are particularly important to Senticore’s AI development, enabling efficient storage and retrieval of LLM vector embeddings.
Senticore Technologies is renowned for pushing innovation in complex technical domains.
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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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