GraphGeeks Podcast

Amy Hodler and Dave Bechberger dive into the crucial role of memory in advanced AI systems, especially at the intersection of graphs, knowledge graphs, and generative AI.Dave Bechberger, currently focusing on MCP servers, agentic memory, and semantic data layers, explains that memory is fundamental because standard LLM calls are atomic and lack recollection of prior interactions. An agent without memory lacks continuity for complex user interactions.The discussion breaks down three key types of memory and how graphs apply:Episodic Memory: Transactional details are directly integrated into the context.Short-Term Memory: Session-based interactions that require compaction or summarization.Long-Term Memory: For extracting and storing patterns, trends, and preferences across multiple interactions.

Ricky Sun, Founder and CEO of Ultipa, a pioneering high-performance graph platform, dives into the evolving landscape of graph technology. He emphasizes the crucial role of GQL, the new ISO standard, in enhancing market adoption and reducing vendor lock-in. Ricky discusses how graphs complement AI by providing vital real-time insights while AI tackles initial and final tasks. With a focus on real-time analytics and practical applications, he also touches on the importance of understanding graph capabilities for enterprise solutions.

Join Paco Nathan, an experienced AI and graph consultant, as he shares insights on the latest trends in AI and graph technology. He discusses how companies are shifting from basic code generation to real-world applications like fault detection. Paco elaborates on the rise of hybrid AI, combining neural and symbolic systems for better model efficiency. He also highlights practical workflows with tools like MLflow and DSPy, and touches on the growing interest in probabilistic graph approaches. A must-listen for anyone curious about the future of tech!

In this discussion with Dr. Denise Gosnell, an entrepreneur, business strategist, and author. Denise shares insights from her impressive career—from a college athlete to a PhD, to leading graph teams at AWS and Datastax—and discusses the inspiration behind her new book, Tech Confidential: An Insider's Playbook for Daring Entrepreneurs. She reveals how the book, structured like an onion with layers on ego, team dynamics, product-market fit, and exit strategies, provides a no-nonsense guide to navigating the tech industry. We also dive into why graph technology hasn't yet gone mainstream and discuss the importance of embracing chaos and having a coach, reminding listeners that you should never try to succeed alone.Playbook and resources: https://www.techconfidential.ai/

Join host Amy Hodler and guest Sumit Pal, a former Gartner research VP and current Strategic Technology Director at Graphwise, as they dive into the power of graph technology and its impact on AI. They discuss how graph-based data gives AI the crucial context it needs to deliver better results.In this podcast:How graphs help make data "AI-ready" by resolving quality issues and providing critical context.The difference between what a traditional AI model can do with flat data (what happened) versus what a graph-enhanced model can do (why it happened).Why the future of AI might be in smarter, more domain-specific Small Language Models (SLMs) rather than just massive LLMs.How Graph RAG can dramatically improve AI outputs.Follow up with Graphwise on https://graphwise.ai/.

Join us for an insightful discussion with Tomaz Bratanic, Graph ML and GenAI Research expert at Neo4j, as we dive deep into the world of GraphRAG and his newly released book "Essential GraphRAG – a practical guide to combining Knowledge Graphs with Retrieval-Augmented Generation (RAG)" (Manning Publications, co-authored with Oskar Hane).We explore how GraphRAG enhances LLM accuracy by combining the power of knowledge graphs with retrieval-augmented generation, covering everything from vector similarity search to agentic RAG systems. Tomaz also shares his unconventional journey from professional poker player to graph researcher.Key Topics Covered:The importance of incorporating more than just unstructured textAdvanced retrieval strategies and Text2Cypher generationBuilding knowledge graphs with LLMs and Microsoft's GraphRAG approachResources:📘 Free eBook from Neo4j: https://neo4j.com/essential-graphrag/

Join Amy Hodler, David Haglin (Rocketgraph), and David Hughes (Enterprise Knowledge) as they explore graph-wide scanning and its role in revolutionizing cybersecurity. Discover how graphs are eliminating blind spots, detecting advanced persistent threats, and transforming how analysts find crucial insights in massive datasets. Learn why traditional methods fall short and how AI integration is key to navigating the colossal scale of cyber data for unprecedented clarity and threat detection.Want to take Rocketgraph for a spin? https://rocketgraph.com/free-trial/

Founder and game designer Michael Douma discusses "In Other Words," a daily word puzzle that uses pathfinding through connected concepts instead of the typical spelling approaches. Players navigate from one word to another through semantic relationships, with millions of possible solutions that tap into how we naturally think about linked ideas.Graph practitioners and ontologists will love this:Real-world application of graph traversal and pathfinding that's fun!Demonstrates how semantic networks can create engaging user experiences beyond traditional data applicationsExplores how people naturally navigate multidimensional concept spaces and associate ideas

In this GraphGeeks podcast, Amy Hodler chats with Janet Six, a product manager at Tom Sawyer Software who made the leap from academia to industry in the graph world.Janet relates how she fell in love with what she calls the "beautiful combination of mathematics and art" in laying out graph structures. After pursuing a PhD, she was determined to bring academic research into real-world applications. Despite being warned against studying AI in the 1990s, she followed her passion anyway, and now, thirty years later, we're seeing incredible connections between graphs and AI through LLMs and agentic workflows.We also get to hear how Janet, as a former competitive roller skater, sees her current product management work as "choreography" - dancing between customer needs, business requirements, and technology constraints while working within deadlines and real-world limitations.

In this episode of Graph Geeks in Discussion, host Amy Hodler sits down with Arthur Bigeard, founder of G.V(), to explore how his quest for a user-friendly graph database client led to creating a more universal graph experience tool. Arthur shares his journey from graph database novice to tool creator, explaining how G.V() bridges the gap between technical complexity and practical usability across multiple graph database technologies. G.V() website: https://gdotv.com/KGC Conference referenced: https://events.knowledgegraph.tech/