Neo4j
Graph database for connected data
Episodes
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#6087: Building a Podcast Graph That Doesn't SuckDaniel wants to turn a 6,000-episode archive into a walkable graph. Turns out the hard part isn't the database — it's the pruning. -
#4648: Graph Engineering: AI Memory Beyond RetrievalHow linked notes and knowledge graphs are turning AI agents from memory tools into discovery engines. -
#4340: Building an AI Tutor That Teaches You to Code Without Writing It For YouHow to build an AI tutor that assigns projects, reviews code, and remembers what you've learned — without writing your code for you. -
#4052: From Phone Number to Identity MapHow a single phone number becomes a map of someone's digital life through graph-based OSINT techniques. -
#3673: Knowledge Graphs vs SQL: How Custom Relationships Change RetrievalWhy naming relationships (not just connecting data) transforms how you retrieve information. -
#3667: When Your Podcast Outgrows Its Feed3,700 episodes. 68 days of audio. One RSS feed designed for 10 blog posts. Can podcast infrastructure handle this? -
#2677: Memory Layers for AI Agents: SaaS vs Self-HostedZep, mem0, Letta, Graphiti, Cognee — which memory layer should you commit to for your AI agent? -
#2459: Drizzle vs Prisma: Which ORM Wins for AI-Native Backends?Comparing Drizzle and Prisma for AI-native backends, MCP servers, and the future of agent-centric development. -
#2458: Can Graph Databases Go Mainstream?Graph databases are powerful but niche. Will they ever power mainstream CRMs and ERPs? -
#2204: Memory Without RAG: The Real Architecturemem0, Letta, Zep, and LangMem solve agent memory differently than RAG. Here's what's actually happening under the hood. -
#1891: From Phone Number to Spiderweb: The Power of OSINT GraphsSee how a single phone number can unravel a web of 200+ entities in seconds using OSINT graph tools. -
#1407: Can One Million LLMs Predict the Next Global Crisis?Discover how an undergraduate student built a viral simulation of one million AI agents to predict social behavior and policy outcomes. -
#1406: Giving AI a Brain: The Power of Knowledge GraphsMove beyond "stochastic parrots" with Knowledge Graphs. Discover how structured data is giving AI the logical backbone it needs to reason. -
#1211: Escaping JOIN Hell: The SQL Developer’s Guide to Neo4jStop struggling with 15-deep JOINs. Learn how Neo4j turns relationships into first-class citizens for faster, more intuitive data modeling. -
#1124: The Database Explosion: Why One Size No Longer Fits AllFrom vector stores to edge computing, discover why the world now has over 1,000 databases and why Postgres isn't always the answer. -
#846: Beyond the Vector: Building Long-Standing AI MemoryStop relying on basic vector search. Discover how Graph RAG and RAPTOR are creating AI systems with true long-standing memory. -
#816: From Scrolls to SQL: The Evolution of Human OrderExplore the history of how we organize the world, from ancient library catalogs to the future of AI-driven vector databases. -
#662: The Geopolitical Graph: Mapping Global Power with AIMove beyond flat maps. Discover how graph databases and AI reveal the hidden connections and second-order effects shaping our global landscape. -
#263: Why AI Needs a New Kind of MemoryHerman 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. -
#257: AI That Evolves: Solving the Preference ProblemWhy do AI recommendations feel stuck in the past? Discover the technical hurdles of real-time learning and the future of personalized agents. -
#200: Why Graph RAG Beats Flat Vectors for AI MemoryExplore how the AI stack is evolving from simple vector search to complex Graph RAG and why the "boring" Postgres database is winning the race.