Tag: RAG
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Build an “ask the docs” app with Laravel 13 and MariaDB Vector
Earlier this month we wrote that Laravel 13 now supports MariaDB Vector natively. Mohamed Touhami Rhaima, one of the community contributors who made that happen, has now written a tutorial on how to use it, and recorded a video version.
Why MariaDB Vector in Laravel
With Laravel 13 and MariaDB 11.7 or later, you can store embeddings and search them by meaning in the same database as the rest of your application data, using the framework’s own database features.
This […]
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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,…
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Can you do RAG with Full Text Search in MariaDB?
We continue our blog series on learning more about users of MariaDB. Searching LinkedIn for posts about MariaDB this morning we saw an impressive confident post about using MariaDB in a RAG solution named SemantiQ. We got curious about it and reached out to the author Lorenzo Cremonese to have a chat.
Tell us about yourself Lorenzo!
I’m an Italian studying in Spain. I began programming when I was 14, and I’m now 22. I’m a self-taught web developer since […]
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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 […]
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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 […]
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Helsinki Python meetup with AI RAG and MariaDB Foundation
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 […]
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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 […]
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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. […]