[Music] [Music] All right. Hey, so great to see everyone here at AI Engineer World's Fair. Andre and I have the honor of curating the graph rag track which is happening here.And I thought I thought the jokes Simon had about bugs were spot on. Spot on. Hilarious.And that's the reason why we care so much about getting really good data like like building a solid foundation and good grounding for models. And we're going to we're going to chat a bit because I think we have a social responsibility. We're we're ge ...

[Music] We are talking about graph rack today. That's the graph rack trick of course. Uh and we want to look at patterns for successful graph applications uh for um making LLMs a little bit smarter by putting knowledge graph into the picture.My name is Michael Hunga. I'm VP at of product innovation at Neo Forj. My name is Steven Shin.I lead the developer relations at Neo Forj. And um actually we're we're both co-authoring. This is fun because we're both already authors and finally we've been friends for yea ...

Structured Representations are pretty important in the law, where the relationships between clauses, documents, entities, and multiple parties matter. Structured Representation means Structured Context Injection. Better Context, Less Hallucinations. We walk through a couple of case studies of systems that we’ve built in production for legal use-cases - from recursive contractual clause retrieval, to HITL legal reasoning news agents. You'll gain insights into how structured representations significantly impr ...

Enterprise knowledge bases are filled with "dense mapping," thousands of documents where similar terms appear repeatedly, causing traditional vector retrieval to return the wrong version or irrelevant information. When our customers kept hitting this wall with their RAG systems, we knew we needed a fundamentally different approach. In this talk, I'll share Writer's journey developing a graph-based RAG architecture that achieved 86.31% accuracy on the RobustQA benchmark while maintaining sub-second response ...

[Music] I'm here today to tell you that there's no onesizefits all memory. Um, and why you need to model your memory after your business domain. So, if you saw me a little bit earlier and I was talking about Graffiti, Zep's open-source temporal graph framework, um, you might have seen me just speak to how you can build custom entities and edges in the graffiti graph for your particular business domain.So, business objects from your business domain. What I'm going to demo today is actually how Zep implements ...

[Music] to quickly introduce myself. My name is Mitesh. I lead the develop advocate team at Nvidia.And the goal of my team is to uh create technical workflows, notebooks uh for different applications and then we release that codebase uh on GitHub. So developers in general which is me and you all of us together we can harness that uh that knowledge and take it further for the application or use case that you're working on. So that is what my uh my team does including myself.In today's talk, I'm I'm I'm going ...

[Music] My name is Steve. Uh Steve Ruiz. I am from a company that I started called Teal Draw. Teal Draw started as a um well, a couple things. started as like a a digital ink library that then uh Christopher had me implement in Excaladra. When I was working on that, I was like, you know, there should probably be like a kind of a a really good SDK for building these types of things. And I'd already worked on a couple of projects that uh we're kind of going in that direction. So, I did turned out if you build ...

[Music] Thank you so much for the intro. I'm so excited to be here uh talking about like figure out like how do we like AI and human like work in the world of white bowling and I built excro and if you've don't know about it like you'll see like many thing about it and one of the expectation you probably have uh about speaker at the AI engineer conference is that I talk about AI on every single sentence for the entire talk. So I'm just going to give you a warning.I'm only going to do it for the second half ...

AI models are getting tasked to do increasingly complex and industry specific tasks where different retrieval approaches provide distinct advantages in accuracy, explainability, and cost to execute. GraphRAG retrieval models have become a powerful tool to solve domain specific problems where answers require logical reasoning and correlation that can be aided by graph relationships and proximity algorithms. We will demonstrate how an agent architecture combining RAG and GraphRAG retrieval patterns can bridge ...

Bad designs are still bad. AI doesn’t make it good. The novelty of AI makes the bad things tolerable, for a short time. Building great designs and experiences with AI have the same first principles pre-AI. When people use software, they want it to feel responsive, safe, accessible and delightful. We’ll go over the big and small details that goes into software that people want to use, not forced to use. About John Pham I'm John Pham, an engineer and a self-taught designer. I seek the dopamine hits of buildin ...