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Retrieval Augmented Generation

Intermediate
€50
9h 45m
11 lessons

The building blocks of a RAG system. The module covers document parsing and chunking, embeddings and vector search, hybrid search and reranking, query transformation, grounded answers with citations, and the evaluation of retrieval and generation.

RAG
Large Language Models
Information Retrieval

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Lessons

1

RAG Foundations: Why Do Language Models Need Retrieval?

60 min

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2

Document Processing: Parsing & Chunking Strategies

60 min

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3

Embeddings & Vector Search: Measuring Meaning

60 min

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4

Hands-On #1

60 min

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5

Quiz #1

30 min

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6

Retrieval Quality: Hybrid Search & Reranking

60 min

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7

Query Transformation: Rewriting, Decomposition & Routing

60 min

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8

Grounded Generation: Prompts, Citations & Refusals

45 min

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9

Evaluating RAG: Retrieval Metrics & Answer Faithfulness

60 min

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10

Hands-On #2

60 min

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11

Quiz #2

30 min

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