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Retrieval Augmented Generation (RAG)

Unlock the power of Retrieval Augmented Generation (RAG) to build more accurate and context-aware AI applications. This advanced course delves into the intricacies of RAG architecture, guiding you through the process of designing, implementing, and optimizing RAG pipelines for superior performance. Learn how to combine the strengths of pre-trained language models with external knowledge sources to overcome the limitations of traditional generative AI.

Preview First Lesson — FreeView Syllabus
Lessons
6
Price
Free
Course Curriculum

What you'll learn

3 Modules
6 Lessons
~30m total
01
01
Module 01
RAG Fundamentals
Establish a solid foundation in the core principles of Retrieval Augmented Generation. Understand the key components and processes involved in building RAG systems.
2 lessons10 min
0%
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02
02
Module 02
Building RAG Pipelines
Learn how to design and implement RAG pipelines using various tools and techniques. Explore different retrieval and generation strategies and understand how to optimize RAG for specific use cases.
2 lessons10 min🔒 Locked
0%
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03
03
Module 03
RAG Optimization & Applications
Learn how to optimize RAG systems for accuracy, efficiency, and scalability. Explore real-world applications of RAG and discover how to tailor your RAG architecture to specific use cases.
2 lessons10 min🔒 Locked
0%
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