Building Agentic RAG
Learn agentic RAG concepts and build custom tools that let LLMs autonomously retrieve and reason over knowledge. Master the ReAct framework to create agents and chatbots that iteratively plan, retrieve, and refine answers. Design stateful, graph-based agent workflows using LangGraph for production-ready agentic systems.
- Master the ReAct framework to create agents and chatbots that iteratively plan, retrieve, and refine answers.
- Design stateful, graph-based agent workflows using LangGraph for production-ready agentic systems.
Prabhakaran SPrincipal Data Scientist
Included in All-Access, one membership for every course.
- Lessons
- 19, in 5 chapters
- Video
- 44 min
- Certificate
- On completion
What you'll be able to do
- Agentic RAG fundamentals
- Custom tool building
- ReAct agent design
- Agentic chatbot development
- LangGraph workflow orchestration
- Dynamic knowledge retrieval
- Multi-step reasoning patterns
- Production-ready agent deployment
Course content
5 chapters · 19 lessons · 44 min
01Agentic RAG concepts4 lessons · 11 min
- Baseline RAG with bedrock_agent.retrieve()6:12
- Download Resources1:00
- Failure scenarios3:00
- Summary0:30
02Building Tools7 lessons · 12 min
- Tool schema format3:39
- Tool 1 - Search Knowledge base (Uses Retrieve() API)1:56
- Tool 2 - Check Order Status (Mock - Bypasses retrieve())1:25
- Tool 3 - Get Weather Alerts (Mock - External API)2:50
- Tool 4 - Check Inventory (Mock - Live Database)0:15
- Tool 5 - Create Return Request (Mock - Takes Action)0:48
- Test All Tools1:08
03Building the ReAct Agent3 lessons · 9 min
- Overview of React Agent4:24
- Test- Knowledge Base Query0:29
- Test and Run4:03
04Agentic Chatbot1 lesson · 3 min
- Agentic Chatbot Demo2:47
05LangGraph Agent4 lessons · 11 min
- Overview2:55
- Initialize LLM with Tools1:03
- Define Agent State and Nodes4:03
- Testing and Run Agent2:48
What you need
- Basics of Python
- Foundational knowledge of Data Science
- High school maths
Who this course is for
- Data Science Aspirants
- Data Science Professionals
- Software/Data engineers interested in quantitative analysis
- Professionals working with large datasets
- Data analysts, economists, researchers
Your instructor
Prabhakaran S
Principal Data Scientist
My name is Selva, and I am super excited to mentor you on this course!
I head the Data Science team for a global Fortune 500 company and over the last 10 years of my data science experience I've deployed 20+ global products. I'm also the Founder and Chief Author of Machine Learning Plus, which has over 4M annual readers.
I specialize in covering the in-depth intuition and maths of any concept or algorithm. And based on my existing student requests, I've put up the series of courses and projects with detailed explanations, just like on-the-job experience. Hope you love it!
- from 3,965 ratings
- 4.92
- learners
- 57K+
- courses
- 85
Questions
How do I get this course?
It is part of All-Access: one membership that opens all 85 courses. The plans and prices are on our course site. You can watch the free preview lessons before you join.
Can I get a refund?
Yes. If the membership is not right for you, ask for a refund within 30 days of your first payment.
Can I learn on my phone?
Yes. Lessons play in the browser on any phone, tablet or computer, and your place is saved for the next device.
I am already a member. Where are my courses?
On our course site, edu.machinelearningplus.com. Sign in there with the email you joined with. The courses move to this site later, with your access, and you will not pay again.
