#knowledge-graphs
9 episodes
#2206: What Actually Works in AI Memory
Most AI memory systems are just vector databases with similarity search. We break down what mem0, Zep, and Letta are actually doing—and why benchma...
#2203: Knowledge Without Tools: Why MCPs Aren't Just for Execution
MCPs can be pure knowledge providers with zero tools. Here's why that matters for agents querying government data and authoritative sources.
#2173: Inside MiroFish's Agent Simulation Architecture
MiroFish generates thousands of AI agents with distinct personalities to predict social dynamics. But research reveals a critical flaw: LLM agents ...
#1406: Giving AI a Brain: The Power of Knowledge Graphs
Move beyond "stochastic parrots" with Knowledge Graphs. Discover how structured data is giving AI the logical backbone it needs to reason.
#1176: Can AI Resurrect the Digital Tombstones in Our Archives?
Stop saving "digital tombstones." Discover how AI and new scanning tech are turning static images into searchable, computable knowledge graphs.
#846: Beyond the Vector: Building Long-Standing AI Memory
Stop relying on basic vector search. Discover how Graph RAG and RAPTOR are creating AI systems with true long-standing memory.
#810: The Agentic Interview: How AI Learns to Know You
Stop dumping data. Discover how agentic interviews are transforming AI from a passive listener into a proactive, structured partner.
#492: Beyond the Folder: The Quest for a Graph-Based OS
Why are we still using 1970s folders? Explore how graph structures and associative memory are finally challenging the traditional file system.
#263: Beyond the Table: Why AI is Moving to Graph Databases
Herman and Corn explore why SQL is losing ground to graph and vector databases. Discover why the "edge" is the new gold standard for AI accuracy.