RAG
166 episodes · Page 6 of 7
#1765: The Agentic Internet: A Clean Web for Machines
We explore the tools building a parallel, machine-readable web—from SearXNG to Tavily.
#1764: Your Repo as a Knowledge Base
How to give AI agents instant memory of your entire project—without cloud costs or complex infrastructure.
#1762: Testing AI Truthfulness: Beyond Vibes
Stop trusting confident AI. We explore the formal science of testing LLMs for hallucinations and knowledge cutoffs.
#1731: Why Deep Research Agents Are Being Forgotten
Specialized research agents outperform general orchestrators by 40-60% on verification tasks, yet developer hype is fading. Here's why.
#1713: Why Native AI Search Grounding Still Fails
Native search grounding is expensive and flaky. Here’s why bolt-on tools still win for accurate, real-time AI answers.
#1708: Why Your AI Agent Forgets Everything (And How to Fix It)
Learn how Letta's memory-first architecture solves the AI context bottleneck for long-term agents.
#1601: Cohere: The Switzerland of Enterprise AI
While others chase viral memes, Cohere is quietly building the secure, cloud-agnostic infrastructure powering the global enterprise.
#1592: The Vector Debt Trap: Choosing Embeddings That Last
Stop treating embedding models like plumbing. Learn how to navigate vector debt, multimodal retrieval, and database configuration for RAG.
#1565: Machine-Readable Safety: Markdown for AI Agents
Transform bloated government data into clean Markdown to power life-saving AI agents during emergencies.
#1483: The Recall-Per-Dollar Era: Mastering Vector Database Tuning
Stop burning money on unoptimized vector searches. We dive into HNSW tuning, distance metrics, and the vital "recall-per-dollar" metric.
#1482: The Hidden Cost of Choosing an Embedding Model
From Matryoshka models to multimodal search, discover how the fundamental units of AI memory are being optimized for efficiency and scale.
#1481: The End of the AI Chat Sidebar
Discover how tools like Cursor and Claude Code use Merkle trees and knowledge graphs to master massive codebases with surgical precision.
#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.
#1322: When AI Stops Seeing and Starts Reasoning
Explore how AI evolved from simple pixel labeling to understanding intent and context through Vision-Language Models and agentic frameworks.
#1235: Beyond "No Training": Securing the New Agentic AI Stack
Think your data is safe because of a "no training" clause? We deconstruct the hidden security risks within the modern agentic AI stack.
#1215: The Vector DB Hangover: Scaling Without Going Broke
Stop overpaying for your AI's memory. We break down the math of self-hosting vectors and the rise of serverless search.
#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.
#1209: The Agent-First Shift: Ending the Dual-Track API Tax
Stop paying the 20% "AI tax." Explore how unified backends and MCP are merging human interfaces with agentic capabilities for a seamless future.
#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.
#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.
#1111: Surviving the arXiv Deluge: Finding Signal in AI's Paper Firehose
Discover the unsung research papers that built the AI era and learn how to navigate the relentless flood of new machine learning breakthroughs.
#1103: The Kitchen War: When Theory Meets Messy Reality
Explore the mechanics of LLM context windows and attention, and witness what happens when technical debates collide with household chores.
#1100: The Truth Conflict: Why AI Ignores the Facts You Give It
Discover why AI models ignore provided documents in favor of old training data and how to build a reliable "hierarchy of truth" for RAG systems.
#1038: The Secret Architecture: Why Taxonomy Rules the AI Age
Ever wonder why search filters fail? Discover how taxonomy and ontology form the invisible backbone of everything from libraries to modern AI.