Tag Archives: Vectors
AI was everywhere at Intel Vision this week in London. Nearly every keynote and breakout presentation was centred around AI. I had the honour of being interviewed by Intel’s jovial Chief Commercial Officer Christoph Schell, who is just about as stereotypically German as his former neighbour from Stuttgart Jürgen Klopp (whom he referenced on-stage), namely: not at all.
Staying German but perhaps a tad less Klopp-like, Thomas Bach was one of many interviewed on-stage by Christoph. The president of the International Olympic Committee nevertheless impressed me by his quick-witted reply to Christoph’s question as to how AI would have made an impact if it had been in place during Thomas Bach’s fencing career.
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Continue reading “MariaDB Vector at Intel Vision – AI Everywhere”
We say: Put your AI vectors into your RDBMS …
Relational databases are where AI data belongs. Users need their vectors along with the rest of their data, in a standard database which offers performance, scalability, and all the other traditional virtues, such as ACID compliance.
This is why we are developing MariaDB Vector. Expect to see a first preview release later this month.
… but don’t take our word for it – ask Amazon!
Now, we’re not alone in advocating the above logic. That’s probably because the logic makes sense. The best articulation of the logic of “you want your Gen AI integrated in your relational database” I’ve heard is by MariaDB Foundation Board Member Sirish Chandrasekharan, General Manager of Amazon Relational Database Services.
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“Generative AI is a can of worms that has to be opened”. That was the laconic comment from a senior industry influencer, when I shared MariaDB Foundation’s plans for successively making MariaDB Server a platform for AI solutions. The statement combines the opportunity with the inevitability, the complexity with the need for stepwise refinement.
Late to the game?
Are we late to the game? I believe not. I believe this is the right timing. Open Source isn’t a pioneer when it comes to basic research or even early product development.
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