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Agentic RAG

Learn to build intelligent, self-reflective retrieval agents with LlamaIndex while mastering reasoning-driven RAG, evaluation methods, and the deployment of scalable agentic systems.

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Overview

Content

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RAG systems have changed how AI accesses external knowledge, but agentic RAG transforms retrieval into a reasoning-driven process. This course unpacks the fundamentals of agentic intelligence and combines reasoning with retrieval to achieve higher factual accuracy and autonomy. You’ll explore the anatomy of an agent, from its memory and tools to the orchestration logic that drives self-directed behavior. Through hands-on lessons, you’ll build an AI research assistant using LlamaIndex by assembling its tools, defining retrieval strategies, and designing reasoning loops that enable self-correction. You’ll learn how to debug, evaluate, and refine your agentic workflows using metrics like faithfulness, context recall, and answer quality, bridging theory and practice. Finally, you’ll architect scalable, dependable systems with dependency graphs and deployment guardrails, equipping you to take your agentic RAG project from prototype to production-ready reliability.

RAG systems have changed how AI accesses external knowledge, but agentic RAG transforms retrieval into a reasoning-driven proces...Show More

WHAT YOU'LL LEARN

The ability to design reasoning-driven RAG systems that plan, reflect, and refine autonomously

An understanding of how to build and orchestrate multi-tool agents using LlamaIndex

The ability to debug, evaluate, and optimize retrieval workflows with structured metrics

The ability to design reasoning-driven RAG systems that plan, reflect, and refine autonomously

Content

13 Lessons4 Quizzes

Foundations of Agentic RAG

3 Lessons

Explore the evolution of RAG into agentic systems for enhanced problem-solving.

From RAG to Agentic RAG

The Anatomy of an Agent: Components and Core Logic

Agentic Reasoning Strategies: From ReAct to Multi-Agent Systems

Implementation with LlamaIndex

4 Lessons

Explore the development of a dynamic agentic RAG system for AI research assistance.

Basic RAG vs. Agentic RAG Implementation with LlamaIndex

Designing Our Agentic RAG System: The AI Research Assistant

The AI Research Assistant: Implementing the Agent’s Core Tools

The AI Research Assistant: Agent Assembly and Orchestration

Refining and Evaluating Agents

2 Lessons

Enhance AI agents’ reliability and evaluate performance through advanced metrics and techniques.

Advanced Concepts and Deployment

3 Lessons

Explore scalable architectures, deployment challenges, and future trends in agentic AI.

Assessment

1 Lessons

Apply knowledge through practical exercises in AI design and coding.

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Developed by MAANG Engineers

Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

Trusted by 2.8 million developers working at companies

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@_webarchitect_

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Hands-on Learning Powered by AI

See how Educative uses AI to make your learning more immersive than ever before.

Personalized Interview Prep

Skip the LeetCode grind with a custom roadmap that adapts to your goals. Hands-on practice for Coding Interviews, System Design, and more.

Mock Interviews

Test your skills in a simulated interview setting. Receive personalized feedback based on your performance. Available for Coding Interviews, System Design, and more.

AI Prompt

Build prompt engineering skills. Practice implementing AI-informed solutions.

Code Feedback

Evaluate and debug your code with the click of a button. Get real-time feedback on test cases, including time and space complexity of your solutions.

Explain with AI

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AI Code Mentor

AI Code Mentor helps you quickly identify errors in your code, learn from your mistakes, and nudge you in the right direction — just like a 1:1 tutor!

Free Resources

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