The Ultimate Guide

Agentic AI & RAG
Zero to Hero

Master the architecture of modern AI. From basic prompts to autonomous, reasoning agents with external memory.

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The Core Concepts

Before we build, we must understand. The evolution from static models to dynamic, reasoning systems.

RAG

Retrieval-Augmented Generation gives LLMs a memory. Instead of relying solely on pre-trained knowledge, the system searches an external database for relevant facts before generating an answer.

User
Vector DB
LLM

Agentic AI

Agents give LLMs agency. They can reason, plan, and execute actions using tools. They don't just answer questions; they solve complex, multi-step problems autonomously.

Reason

Analyze the goal

Plan

Break into steps

Act

Use tools & APIs

The Path

Zero to Hero

Follow the evolution from basic prompting to building autonomous, multi-agent architectures.

Week 1

Foundations of LLMs

Deep dive into Transformer architecture, attention mechanisms, and advanced prompt engineering techniques (Few-Shot, Chain-of-Thought, Tree-of-Thoughts).

Week 2

Embeddings & Vector Spaces

Understand how text is converted into high-dimensional vectors. Learn about cosine similarity, embedding models, and setting up your first Vector Database.

Week 3

Core RAG Architecture

Build your first Retrieval-Augmented Generation pipeline. Learn document parsing, chunking strategies, and combining retrieval with generation.

Week 4

Advanced RAG Techniques

Move beyond naive RAG. Implement query translation, routing, hybrid search (BM25 + Vector), and re-ranking (Cohere/Cross-Encoders) to dramatically improve accuracy.

Week 5

Tools & Function Calling

Give your LLM hands. Learn how to define schemas, bind tools to models, and execute arbitrary code, SQL queries, or API calls based on natural language.

Week 6

Agentic AI & ReAct

Build autonomous agents using the Reason + Act (ReAct) framework. Implement memory, reflection, and self-correction loops.

Week 7

Multi-Agent Systems

Orchestrate teams of specialized agents. Explore frameworks like LangGraph and AutoGen to build stateful, multi-actor workflows.

Week 8

Production & Evaluation

Deploy your agentic systems. Learn about RAGAS for evaluation, guardrails for safety, observability, and managing agent state in production.

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