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Master Retrieval-Augmented Generation (RAG) Systems · LearnSpace
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Master Retrieval-Augmented Generation (RAG) Systems

Курс от Packt
Средний≈ 6.3 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Updated in May 2025. This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. This course offers an in-depth exploration of Retrieval-Augmented Generation (RAG) systems, focusing on their practical application in real-world scenarios. By the end of the course, you'll gain expertise in advanced techniques like query expansion, re-ranking, and dense passage retrieval. You'll also understand the core components of RAG systems and learn how to address common challenges in their implementation. The course begins with an introduction to the basic concepts of RAG, providing an essential foundation for understanding both naive and advanced RAG approaches. You'll dive into the RAG triad and learn about the pitfalls associated with early-stage implementations of RAG, followed by an exploration of more sophisticated techniques. The practical sections will guide you step-by-step through hands-on exercises that involve splitting text, embedding chunks, and performing similarity searches. Advanced topics such as query expansion with generated answers, re-ranking using cross-encoders, and the Dense Passage Retrieval (DPR) technique will be explored thoroughly. You’ll also learn to visualize your results through graph projections and plot embeddings for better interpretation of your data. Throughout the course, you’ll get plenty of chances to apply your learning in hands-on sessions and practical challenges. This course is designed for learners with a foundational understanding of machine learning and natural language processing. It's suitable for professionals and developers looking to master advanced RAG systems for more efficient document retrieval and answer generation. Prior knowledge of Python and machine learning frameworks is recommended.

Навыки, которые вы освоите

Retrieval-Augmented GenerationEmbeddingsLarge Language ModelingText MiningLLM ApplicationPlot (Graphics)Generative AI

Программа курса

8 модулей · 43 учебных материалов

01Introduction5 материалов

Introduction

Introduction to the Course 'Master Retrieval-Augmented Generation (RAG) Systems'ЧтениеIntroductionВидеоFull Course ResourcesЧтениеCourse StructureВидео

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Преподаватель курса

Master Retrieval-Augmented Generation (RAG) Systems
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Обучение на Coursera

≈ 6.3 ч

8 модулей

Язык: Английский

Субтитры: Арабский, Французский, Итальянский, Бразильский португальский, Корейский, Немецкий, Индонезийский, Испанский, Японский, Казахский, Венгерский

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Development Environment SetupВидео
02RAG (Retrieval-Augmented Generation) Deep Dive - Naive RAG vs Advanced RAG5 материалов

RAG (Retrieval-Augmented Generation) Deep Dive - Naive RAG vs Advanced RAG

Introduction to RAG and the RAG Triad - OverviewВидеоWhat is RAG and Naive RAG Overview and PitfallsВидеоDeep Dive into Each Naive RAG DrawbacksВидеоExploring Retrieval Augmented Generation (RAG)DIALOGUERAG (Retrieval-Augmented Generation) Deep Dive - Naive RAG vs Advanced RAG - AssessmentЗадание
03Advanced RAG Deep Dive - Advanced Techniques9 материалов

Advanced RAG Deep Dive - Advanced Techniques

Advanced RAG Techniques - Intro to Expansion with Generated AnswersВидеоHands-on - Expansion with Answers - Splitting TextВидеоEmbedding the Chunks and Showing ThemВидеоAdding Documents to the Vector Store and Performing Similarity SearchВидеоGenerating the Answer and Concatenating the Relevant DocumentsВидеоPlotting and Projecting the Embedded Results on GraphВидеоQuery Expansion with Generated Answers - SummaryВидеоAdvanced Conversational Query TechniquesDIALOGUEAdvanced RAG Deep Dive - Advanced Techniques - AssessmentЗадание
04Hands-on: Advanced RAG Technique - Query Expansion with Multiple Queries7 материалов

Hands-on: Advanced RAG Technique - Query Expansion with Multiple Queries

Query Expansion with Multiple Queries - OverviewВидеоGetting Generated Augmented QueriesВидеоRetrieving and Plotting Embeddings in a 2D GraphВидеоCHALLENGE: Your TurnВидеоExpansion with Multiple Queries Downsides and SummaryВидеоMastering Query Expansion Techniques in Data RetrievalDIALOGUEHands-on: Advanced RAG Technique - Query Expansion with Multiple Queries - AssessmentЗадание
05Hands-on - Advanced RAG Technique: Re-Ranking with Cross-encoder6 материалов

Hands-on - Advanced RAG Technique: Re-Ranking with Cross-encoder

Re-ranking and Cross-encoder and Bi-encoders - OverviewВидеоRanking Long-tail Results with Cross-encoderВидеоFinal Step - Pass the Ranked Documents through a LLM to Get Relevant AnswerВидеоRe-ranking SummaryВидеоRe-Ranking with Cross Encoders in Search SystemsDIALOGUEHands-on - Advanced RAG Technique: Re-Ranking with Cross-encoder - AssessmentЗадание
06Hands-on - Advanced RAG Technique: Dense Passage Retrieval (DPR)5 материалов

Hands-on - Advanced RAG Technique: Dense Passage Retrieval (DPR)

Dense Passage Retrieval OverviewВидеоThe DPR Technique - Full Hands-onВидеоDPR SummaryВидеоUnderstanding Dense Passage Retrieval (DPR)DIALOGUEHands-on - Advanced RAG Technique: Dense Passage Retrieval (DPR) - AssessmentЗадание
07Other Advanced RAG Techniques2 материалов

Other Advanced RAG Techniques

Other TechniquesВидеоExploring Advanced RAG TechniquesDIALOGUE
08Wrap up - What's Next4 материалов

Wrap up - What's Next

What's NextВидеоConclusion to the Course 'Master Retrieval-Augmented Generation (RAG) Systems'ЧтениеFull Course Practice AssessmentЗаданиеFull Course AssessmentЗадание