🤖What exactly is an AI agent, how does it differ from a chatbot or an LLM pipeline, and when should you actually use one? This chapter covers the agent loop, real use cases, and the …
A deep dive into the four core components of an AI agent system, and why Context Engineering — managing everything in the LLM's context window — matters far more than just writing …
A practical introduction to LangChain's core building blocks and LangGraph's stateful graph abstraction — including messages, @tool, StateGraph, nodes, edges, and a complete Hello …
Build a complete, multi-turn AI agent from scratch using LangGraph — with persistent memory via SQLite checkpointer, proper streaming output, structured tool schemas, and …
Production safety for AI agents: inject user context without polluting the message stream, add content moderation with NeMo Guardrails, and implement human-in-the-loop interrupts …