What you'll Learn
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Gain a solid foundation in the LangGraph framework.
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Learn to design and implement self-correcting RAG systems.
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Engage in practical sessions to build your own corrective RAG system.
About the Instructor
Dipanjan Sarkar - Head of Community and Principal AI Scientist, Analytics Vidhya
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Who Should Enroll?
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Individuals looking to enhance their expertise in AI-driven QA systems and explore the capabilities of LangChain.
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For those on their journey to mastering AI and NLP, ready to explore advanced frameworks and make a mark in the tech world.
FAQ
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What is LangGraph?
LangGraph is a framework designed for building advanced AI systems, particularly those involving Retrieval-Augmented Generation (RAG) and corrective mechanisms. It allows for the creation of intelligent agents that can autonomously correct and refine their outputs.
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What is an Agentic Corrective RAG System?
An Agentic Corrective RAG System is an advanced AI system that uses Retrieval-Augmented Generation (RAG) combined with self-correcting mechanisms to enhance the accuracy and reliability of its outputs.
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What is LangGraph, and how is it different from LangChain?
LangGraph is an advanced framework built on LangChain, focusing on structured workflows, graph-based chaining, and improved modularity for building complex LLM-driven systems.
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Does this course include a certificate of completion?
Yes, you will receive a certificate of completion upon successfully finishing the course and all associated assessments.
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Does the course include hands-on projects?
Yes, the course includes practical, hands-on projects where you’ll build a complete corrective RAG system step-by-step.