Tag Archives: semantic search
laravel-mariadb-vector is an open-source project by Erik Ros, bringing MariaDB’s native vector search to Laravel’s Eloquent ORM. In his guest post, Erik shares how it works, and his insights about picking an embedding model.
I maintain laravel-mariadb-vector, a small open source package that brings MariaDB’s native vector search to Laravel’s Eloquent ORM. It’s my first open source project, it has over 100 installs, no marketing budget, and it exists because I needed it.
This post is a quick introduction and an experiment with 2,942 job titles in English and Dutch that shows why the embedding model you pick and how you use it matters far more than you might expect.
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Continue reading “MariaDB Vector in Laravel: insights on choosing an embedding model”
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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