Pekka Enberg

And you can imagine you have the latency advantage, but also increasingly people are super interested in the sort of privacy aspect, right? Because now you can have the private information on the device. It doesn't necessarily have to leave the device. So I think that's the cool part in using the old traditional SQL database and then vector search.

zooming out a little bit and going back to the large language model. So like for us, we actually initially didn't do anything. When we got to the first vector databases out, we decided, okay, we don't really understand this space. We're just going to wait out and see what happens in the market. But then

zooming out a little bit and going back to the large language model. So like for us, we actually initially didn't do anything. When we got to the first vector databases out, we decided, okay, we don't really understand this space. We're just going to wait out and see what happens in the market. But then

zooming out a little bit and going back to the large language model. So like for us, we actually initially didn't do anything. When we got to the first vector databases out, we decided, okay, we don't really understand this space. We're just going to wait out and see what happens in the market. But then

Six months later, you could see a Postgres community, for example, really stepping up and doing this. And then we started thinking, this kind of becomes like an existential thing. It's one workload, but it still becomes like a super important workload. So what can we do? And then we basically just started exploring how we could implement it.

Six months later, you could see a Postgres community, for example, really stepping up and doing this. And then we started thinking, this kind of becomes like an existential thing. It's one workload, but it still becomes like a super important workload. So what can we do? And then we basically just started exploring how we could implement it.

Six months later, you could see a Postgres community, for example, really stepping up and doing this. And then we started thinking, this kind of becomes like an existential thing. It's one workload, but it still becomes like a super important workload. So what can we do? And then we basically just started exploring how we could implement it.

And actually, it wasn't probably us first pointing out the mobile aspect. It was just that We're going to do this feature. And then through our design partners, people were like, hey, this is perfect. Like I can use this for my LLM powered application and all that stuff. But it also, you could see the trend of large language models, basically splitting into two different directions.

And actually, it wasn't probably us first pointing out the mobile aspect. It was just that We're going to do this feature. And then through our design partners, people were like, hey, this is perfect. Like I can use this for my LLM powered application and all that stuff. But it also, you could see the trend of large language models, basically splitting into two different directions.

And actually, it wasn't probably us first pointing out the mobile aspect. It was just that We're going to do this feature. And then through our design partners, people were like, hey, this is perfect. Like I can use this for my LLM powered application and all that stuff. But it also, you could see the trend of large language models, basically splitting into two different directions.

You have the really large model. So Lama 3.0 something just got released. And it's like, it's one of the biggest open source models out there. But you also have the smaller one, which actually fit on devices. We could see Apple, for example, doing some research in that area. I don't know if they roll it out.

You have the really large model. So Lama 3.0 something just got released. And it's like, it's one of the biggest open source models out there. But you also have the smaller one, which actually fit on devices. We could see Apple, for example, doing some research in that area. I don't know if they roll it out.

You have the really large model. So Lama 3.0 something just got released. And it's like, it's one of the biggest open source models out there. But you also have the smaller one, which actually fit on devices. We could see Apple, for example, doing some research in that area. I don't know if they roll it out.

But basically, you could see that if you have a powerful retrieval augmented generation, so you have this ability to search for data, then you can probably get pretty far with the simpler model. So for us, it started to make sense that, okay, this is something that probably is useful in the mobile space.

But basically, you could see that if you have a powerful retrieval augmented generation, so you have this ability to search for data, then you can probably get pretty far with the simpler model. So for us, it started to make sense that, okay, this is something that probably is useful in the mobile space.

But basically, you could see that if you have a powerful retrieval augmented generation, so you have this ability to search for data, then you can probably get pretty far with the simpler model. So for us, it started to make sense that, okay, this is something that probably is useful in the mobile space.

There's basically two main things. mobile space in terms of, you basically have two platforms, right? So you have iOS and Android, but then you also have things like React Native and all that stuff. So it's actually pretty fragmented. So one of the main things we're focusing on is basically making sure that the

There's basically two main things. mobile space in terms of, you basically have two platforms, right? So you have iOS and Android, but then you also have things like React Native and all that stuff. So it's actually pretty fragmented. So one of the main things we're focusing on is basically making sure that the

There's basically two main things. mobile space in terms of, you basically have two platforms, right? So you have iOS and Android, but then you also have things like React Native and all that stuff. So it's actually pretty fragmented. So one of the main things we're focusing on is basically making sure that the

our SDKs for those platforms are top notch and things that you can really just get the developer experience. Because like for us, it's always this combination of trying to get the best possible developer experience, but combine that with robust infrastructure. So that's one thing which is actually surprisingly big investment.