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What is Agentic AI?

Evolution: Chatbots → Copilots → Agents

The Agent Loop: Perceive → Think → Act

Agent Architecture Patterns

Tools & Function Calling

Memory Systems in Agents

RAG: Retrieval-Augmented Generation

Multi-Agent Systems

Agent Safety & Guardrails

Evaluating & Testing Agents

Design: RAG-based Q&A System

Design: Travel Planning Agent

Design: Personal Finance Agent

Design: Code Generation Agent

Design: Customer Support Agent

Design: Data Analysis Agent

Design: Workflow Automation Agent

Design: Document Processing Agent

Design: Multi-Agent Orchestrator

Design: Content Moderation Agent

Design: Recruitment Screening Agent

Design: Healthcare Triage Agent

Design: E-commerce Recommendation Agent

Design: Meeting Scheduler Agent

Design: Research Assistant Agent

Design: DevOps Incident Response Agent

Design: Education Tutoring Agent

Design: IoT Smart Home Agent

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mediumAgentic AI · Agentic AI 5 min read

Memory Systems in Agents

Interactive — Try it yourself!

RAG Pipeline — How AI Answers From Your Docs

Retrieval-Augmented Generation. Watch a question flow through embed → search → rerank → LLM.

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User Query

Step 1

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Embed Query

Step 2

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Vector Search

Step 3

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Rerank

Step 4

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LLM Generation

Step 5

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Answer to User

Step 6

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Press Play to watch a question flow through a RAG pipeline.

Example: “What is our laptop return policy?”

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