#knowledge-graphs
11 episodes
#3673: Knowledge Graphs vs SQL: How Custom Relationships Change Retrieval
Why naming relationships (not just connecting data) transforms how you retrieve information.
#3661: What 1000 AI Podcast Episodes Actually Prove
Scaling an AI podcast to 1000 episodes reveals what no 10-episode pilot can teach you about sustainability, cost, and habit formation.
#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: Why AI Needs a New Kind of Memory
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.