Tag: MariaDB Vector
-
Mirror, Mirror on DB-Engines: The MariaDB Story
DB-Engines has become one of the most visible indicators of database popularity, capturing how the world talks about MariaDB. This post explores what the rankings truly measure and how visibility, community engagement, and education shape MariaDB’s position. It highlights recent innovations such as native vector search and explains how MariaDB’s governance model safeguards long-term openness. As universities adopt MariaDB and developers name it more explicitly in their profiles, the global conversation continues to shift. DB-Engines becomes not just a ranking,…
-
Adaptive Query Optimizer for MariaDB Vector – Innovation Winner of MariaDB Python Hackathon 2025
We recently announced the winners of the MariaDB Python Hackathon. We sat down with the Innovation track first place winners to learn more about the team and their submission.
Aakanksha Singh and Mihir Phalke developed an Adaptive Query Optimizer for MariaDB Vector, addressing performance challenges in vector similarity search operations. 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.
Introducing […]
-
Youtube Semantic Search is the winner of MariaDB AI RAG Hackathon innovation track
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 […]
-
Model Context Protocol – MCP is the winner of the MariaDB AI RAG Hackathon integration track
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 […]
-
Impressive Submissions at the MariaDB AI RAG Hackathon
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 […]
-
Wrapping up the MariaDB Bucharest Meetup
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 […]
-
MariaDB’s AI RAG Hackathon is underway
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. […]
-
Last chance to apply to AI RAG Hackathon
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 […]