RAGRetrieval
RAG Isn't Dead — Your Chunking Is
Ira Menon · Apr 8, 2026 · 6 min read
The obituary was premature
Every long-context release re-runs the "RAG is dead" cycle. Then the bill arrives. Retrieval remains how you make LLMs cheap, current and grounded.
Five strategies, one winner (it depends)
- Fixed-size — fine for homogeneous text, terrible for code.
- Recursive — the sane default.
- Semantic — best quality, highest cost.
- Document-structure — unbeatable for markdown/HTML.
- Agentic chunking — an LLM decides boundaries; expensive, occasionally magical.
Benchmark on *your* corpus. The winner changes with document shape more than with embedding model.
BootcampGo deep · 14 lessons
30 Days of Hermes Agent
A 30-day guided bootcamp: build, harden and ship a production autonomous agent from scratch.
Get the course →$199
AI AgentsNot ready to buy? Start free
Introduction to AI Agents
Understand how AI agents really work: the loop, the tools, the memory, and why most agent projects fail.
Start free →Free