Building autonomous agents? Here are the arguments I keep bumping into—speaking from the trenches:
Vectorize everything vs. giant context windows
You say “vectorize your data.”
they say “why bother… I’ll just load the raw docs at runtime with a jumbo context window.”
RAG for grounding vs. let-the-model-read-it-all
You say “RAG + ranked chunks keeps answers on-track.”
they say “let the model skim the whole corpus, why chunk—no arbitrary cutoff.”
ReAct loops vs. plan-then-act
You say “thought → action → observation loops are nimble.”
I say “draft a multi-step plan first; then execute—safer for long horizons.”
Linear chain-of-thought vs. branching graph-of-thought
You say “a single chain is cheaper.”
I say “branch out; trees uncover better solutions on hard tasks.”
So… which camp are you in?
