RAG
Retrieval-augmented generation — how agents access external knowledge to ground their responses in facts.
Key Guides
RAG Architecture Patterns: From Naive Pipelines to Agentic Loops
The naive RAG pipeline fails silently on every query that requires reasoning. From iterative retrieval to agentic loops, here are the architecture patterns that separate demos from production systems.
The RAG Reliability Gap: Why Retrieval Doesn't Guarantee Truth
RAG is the industry's default answer to hallucination. The research says it's not enough.
From Goldfish to Elephant: How Agent Memory Finally Got an Architecture
After a year of ad-hoc RAG solutions, agent memory is becoming a proper engineering discipline. Four independent research efforts outline budget tiers, shared memory banks, empirical grounding, and temporal awareness: the building blocks of a real memory architecture.
The Goldfish Brain Problem: Why AI Agents Forget and How to Fix It
Stanford deployed 25 agents that planned a party autonomously. But most production agents today can't remember what you told them ten minutes ago. The memory problem isn't a model limitation; it's an architectural one, and new solutions are emerging.