[Music] Thanks for coming. Thanks for having me here. Um I'm Tongima. I'm um I was uh the CEO and co-founder for HAI.We just recently got acquired by MongoDB. I'm also teaching at Stanford as well. So um this is about rag which is the main focus of forage AI uh the startup who is focusing on how to make retrieval better.So um um but I will just generally talk about you know rag and and we'll touch on some of the products we make as well very quickly. So I guess why we are uh doing rag or anything like that ...

[Music] Welcome everybody. Uh I want to thank you for coming to this session today. Um today I want to talk about AI powered search and retrieval.Uh and for those of you who don't know me, my name is Frank. Uh I am actually a part of the Voyage AI team and we recently joined MongoDB. I want to say probably about three to four months ago.Uh just a quick introduction to Voyage AI. You know, we build the most accurate, cost-effective embedding models and rerankers for rag and semantic search. Uh a lot of the a ...

[Music] [Music] In the next 10 to 15 minutes, here's uh I guess my promise to you. I'm going to give you some information that will be high level. There will be some practical component to it.But this information I'll give you within the next 6 months will be very relevant and it will put you in the best position to build the best AI applications to build the best agents that are believable, capable, and reliable. I know we we going to get there. You know what. Just for you.There we go. You're welcome. So, ...

[Music] welcome. Thank you for joining my session this morning. I was thinking that I was in some kind of niche space where people would not be interested, but I'm curious to hear, you know, what brought you to to this session.Anyway, I'm I'm Jesus Barasa. I'm the I'm the field CTO for AI with NEOJ and uh and yeah, for the next like uh 14ish minutes, I'm going to be diving a bit deeper into this uh really powerful combination which is knowledge graphs and uh and large language models to build AI application ...

[Music] Um well hello everyone um thanks for coming to the session here today. My name is Jonathan Larson and uh I run the graph uh team at Microsoft Research. Um, some of you may have seen our paper that we actually released last year uh the graphite paper or you might have seen our GitHub repo uh that was out there and uh has a lot of stars on it. Um when we released this last year to our surprise it got a lot of attention and also it inspired many other offerings that we saw that were out there as well t ...

[Music] I'm going to go over today graph rag particularly dealing with multiple data sources. Uh so both unstructured and structured data sources and kind of why you would want to ever do that in the first place even. So I prepared uh some notebooks here.I was going to make slides, but then I thought it would just be easier to walk through some of what this looks like in practice. Um, so there's a link here, and I can share it with you at the booth later, um, if you have follow-up questions. But basically, ...

[Music] Thanks for coming to my talk. I'm Shazage. Uh I'm one of the co-founders at Orb.Um and I'm going to be talking about how to think about pricing. Um maybe top level takeaway uh from this talk is that pricing is a is a deep complicated topic. We're going to cover some examples. We're going to cover some tactical advice.Um, but in general, the way you should think about pricing is pricing is a form of friction uh for your product and sometimes that friction can be applied for very good reason. Sometime ...

[Music] Hey folks, I am Anushut. I lead the applied research team here at PromQL. Uh PromQL you might have seen is the sponsor for the reliability track here at the AI engineers worldwide.Uh so today I'll talk about um that data readiness is a myth. How many of you are trying to deploy some kind of AI system on some kind of data in a production environment. Okay.Awesome. Who are who is trying to work with more than like documents and vector databases. Okay.Is whose data is perfect. Clean, annotated, perfect ...

In this workshop, you’ll learn how to use Heroku Managed Inference and Agents to build agentic applications. We’ll cover how to provision and deploy LLM models to your app, run untrusted code securely in Python, Node.js, Go, and Ruby using built-in tools, and use the Model Context Protocol (MCP) to connect tools and actions that extend your agents' capabilities. --- Agentic applications are reshaping how developers approach automation and AI integration. In this workshop, you’ll learn how to use Heroku’s ne ...

Welcome everyone. Uh my name is Mason Edgar. I work at Temporal and today we're going to talk about uh events are the wrong abstraction for your AI agents.So uh who here raise of hands recognizes what this diagram is out of curiosity. Okay. So this is a map of our solar system um in a geocentric projection. Uh this is where we have earth as the center of our solar system and this is how celestial objects move around the earth.And this was used to kind of calculate uh celestial trajectories prior to like the ...