From LLM Calls to Agents: RAG, Tools and ReAct
LLMs, prompts, context, RAG, tools, workflows, loops, ReAct, memory, and agents belong to different layers. This guide explains what each one does and how they fit into a working system.
3 posts
LLMs, prompts, context, RAG, tools, workflows, loops, ReAct, memory, and agents belong to different layers. This guide explains what each one does and how they fit into a working system.
My whole-book review feature used to send the setting, chapter plan, facts, and memories in one giant prompt. Two model calls took more than eight minutes. I replaced that request with a small, bounded agent loop that retrieves context only when it needs it.
A practical explanation of how React key participates in component identity, why changing it resets state, and when that is the right tool.