Vectors & Embeddings
Vector databases, RAG, semantic search
7 episodes
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.
Beyond Vectors: The Evolution of the Modern AI Tech Stack
Explore how the AI stack is evolving from simple vector search to complex Graph RAG and why the "boring" Postgres database is winning the race.
AI Memory vs. RAG: Building Long-Term Intelligence
Explore why AI needs a "diary" and not just a "library" as we dive into the architectural differences between RAG and long-term agentic memory.
From Keywords to Vectors: How AI Decodes Meaning
Why can AI write poetry but struggle to find a file? Explore the history and math of semantic understanding with Herman and Corn.
The Science of Lazy Prompting: Why AI Still Gets You
Ever wonder why AI understands your messy typos? Explore how models "denoise" chaotic input through tokenization and semantic context.
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.
RAG vs. Memory: Architecting AI's Essential Toolbox
RAG vs. Memory: Are you building resilient AI? Discover the crucial difference between these two foundational pillars.