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Practical GraphRAG: Making LLMs smarter with Knowledge Graphs — Michael, Jesus, and Stephen, Neo4j
AI Engineer· 2025-07-22 17:59
[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 ...
Agentic GraphRAG: AI’s Logical Edge — Stephen Chin, Neo4j
AI Engineer· 2025-07-21 17:15
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 ...
Intro to GraphRAG — Zach Blumenfeld
AI Engineer· 2025-06-30 22:56
[Music] So, as you come in, we have here a server set up with everything you'll need. If you want to follow along, you should have gotten a post-it note. If you don't, just raise your hand and my colleague Alex over here will come find you and we'll provide you with one.Uh, basically what you're going to do is you're just going to go, if you have a number 160 or below, you go to this link here, the QR code on top as well. Um, and if you have a number that's 2011 or above, you go to the second link or the QR ...
GraphRAG methods to create optimized LLM context windows for Retrieval — Jonathan Larson, Microsoft
AI Engineer· 2025-06-27 09:48
[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 ...
Agentic GraphRAG: Simplifying Retrieval Across Structured & Unstructured Data — Zach Blumenfeld
AI Engineer· 2025-06-27 09:44
[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, ...