#vector-databases
20 episodes
#2645: How to Document Failures for Your AI Second Brain
Stop writing diary entries. Start writing retrospectives your AI agent can actually use.
#2469: Embedding Model Deprecation: RAG's Silent Killer
When OpenAI retires an embedding model, your RAG pipeline breaks silently. Here’s how to fix it.
#2458: Can Graph Databases Go Mainstream?
Graph databases are powerful but niche. Will they ever power mainstream CRMs and ERPs?
#2271: Vector Search in a Single File
What if you could do vector search with just SQLite? We explore sqlite-vec, the extension that adds embeddings to the world's simplest database, an...
#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...
#2139: AI Wargame Memory: Beyond the Context Window
Why simply extending context windows fails in multi-agent simulations, and how layered memory architectures preserve strategic fidelity.
#1849: The Forever Dungeon Master: SillyTavern's Secret Lorebooks
Forget simple chatbots—this is how roleplayers taught AI to remember entire worlds, from 90s MUDs to just-in-time lore delivery.
#1838: Tuning Search Without Losing Your Mind
Modern search bars are AI decision engines. Here's how small teams can tune fuzzy matching, semantic search, and reranking without breaking everyth...
#1834: Building Portable Personal Context for AI
Why your AI remembers your coffee order but forgets your son’s name—and how to build a portable, federated memory layer you actually own.
#1794: RAG Is Cheaper Than You Think (Until It’s Not)
From a $1 embedding bill to a $10k/month vector database bill, here’s the real math behind RAG in 2026.
#1779: AI Memory Is a Mess: Files, Vectors, or Cloud?
Why your AI forgets your instructions and what the battle over portable memory means for the future of agents.
#1764: Vector Databases as a Single File
How to give AI agents instant memory of your entire project—without cloud costs or complex infrastructure.
#1592: Mastering Embedding Models: From Gemini 2 to Vector Debt
Stop treating embedding models like plumbing. Learn how to navigate vector debt, multimodal retrieval, and database configuration for RAG.
#1482: The Multimodal Shift: Navigating the New Vector Landscape
From Matryoshka models to multimodal search, discover how the fundamental units of AI memory are being optimized for efficiency and scale.
#1212: The Postgres Vector Revolution: Killing the Sprawl
Is your tech stack a sprawling suburb of microservices? Discover why a 40-year-old database is winning the AI infrastructure war.
#1124: The Database Explosion: Why One Size No Longer Fits All
From vector stores to edge computing, discover why the world now has over 1,000 databases and why Postgres isn't always the answer.
#1123: One Database to Rule Them All: The Future of Postgres
Can Postgres 18 finally replace the data warehouse? We dive into data gravity, columnar storage, and the physics of scaling in the AI age.
#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.
#371: Beyond the Etch A Sketch: Building Persistent AI Memory
Why treat AI chats like disposable tissues? Discover how to turn years of prompts into a self-healing, evolving digital brain.
#37: AI's Secret Language: Vectors, Embeddings & Control
Unlock AI's secret language! Discover how vectors and embeddings create a "semantic galaxy" for true understanding and control.