Welcome back to Module 5 of our Agentic AI series! In this lesson, we move beyond basic scripts to explore the Essential Frameworks and Design Patterns that power professional autonomous systems.
We dive deep into how standardized algorithms prevent LLMs from "blabbering" and instead force a logical, state-machine execution for reliable results.
What you will learn in this module:
Design Patterns Overview: Why structured thinking is required for consistency and complex problem-solving.
The ReAct Algorithm: Mastering the fundamental "Reasoning + Acting" flow (Thought → Action → Observation).
Agentic RAG (Retrieval-Augmented Generation): How to give your agent a "Library Card" to access company documents and real-time data using Vector Search and Cosine Similarity.
Vector Math 101: Understanding how AI compares text mathematically using embeddings and semantic similarity.
Plan-and-Execute Pattern: Managing long-term strategy for complex workflows like software feature building.
Standard RAG vs. Agentic RAG: Why letting an agent decide when to look up information is more efficient.
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