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LLM and Retrieval Fundamentals: sections and modules

T2.3

Chunking and indexing

Choose chunking and indexing by document type.

About 2 h 53 min: 1 h 8 min reading + 1 h 45 min practice · 8 lessons

Scope: Chunking and indexes; retrieval ranking in T2.4
Prerequisites: RAG from first principles

Lessons

8 lessons

1
Why Retrieval Needs Chunks
7 min
2
Chunking by Document Type
11 min
3
How Vector Search Works
9 min
4
Choosing a Database and Vector Store
8 min
5
Vector Indexes in Production
8 min
6
Retrieve Small, Return Large
9 min
7
Advanced Index Structures
7 min
8
Practise Chunking and Indexing Interview Questions
9 min · Credited source

Practise and Check

Deliverable: Chunking lab (existing html) → chosen strategy with reasons
Assessment: Checkpoint
Interview probe: How do you chunk tables and PDFs?
Common mistakes: One chunk size for every document

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