rag
5 articles
Agent Memory Is Not Just Better RAG: What Grep and AKBP Are Really Saying
An arXiv paper found that inline grep often beats vector retrieval on long-memory conversational QA, while AKBP turns agent memory into a local-first, review-gated, file-backed protocol. Together, they point to the same lesson: agent memory is not a search feature. It is systems engineering.
Fire Truck vs. Succulent — Vector Database vs. Agent Search, in Simple Math
Someone deployed Milvus to search 5,000 vectors. That's like calling a fire truck to water a desk succulent. This post uses dead-simple math to compare vector databases vs. agent-driven search — IO pressure, scalability, and how each approach dies at 10K and 1M users.
From Prompt to Production: A Practical Guide to Agentic AI Architecture
DataTalksClub founder Alexey Grigorev shared the full syllabus for his AI Engineering Buildcamp — six modules covering LLM APIs, RAG, Agentic Flows, Monitoring & Guardrails, Evaluation, and a Capstone project. It's one of the most complete learning paths for building agentic AI applications in production.
Dr. CaBot: Harvard's AI Doctor Trained on 100 Years of Case Reports Crushes Human Physicians at Diagnosis
Harvard's Dr. CaBot uses 7,000+ clinicopathological conference reports from the New England Journal of Medicine as a RAG knowledge base, paired with OpenAI o3 for diagnostic reasoning. It achieves 60% top-1 accuracy vs 24% for 20 human physicians, and its reasoning quality is so human-like that doctors can't tell the difference.
How Clawdbot Remembers Everything: Not Just RAG, But a Memory System
Deep dive into Clawdbot's two-layer memory system: Daily Logs (stream of consciousness) + Long-term Memory (knowledge base) + Hybrid Search (semantic + keyword) + Lifecycle Management (Flush, Compaction, Pruning).