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AI Engineering track

Vector Databases

Indexes, HNSW, hybrid search, pgvector and when to choose a vector store.

8 concepts5 labs

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Concepts

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Work through the concepts in order, or jump to what you need.

Vector Indexing

Concept · Hands-on lab included

HNSW Indexes

Concept · Hands-on lab included

pgvector in Postgres

Concept · Hands-on lab included

Similarity Search

Concept · Hands-on lab included

Hybrid Search

Concept · Hands-on lab included

Metadata Filtering

Concept · Hands-on lab included

Choosing a Vector Store

Concept · Hands-on lab included

Production Vector Serving

Concept · Hands-on lab included

Practice

Hands-on labs

Apply what you've learned in guided, production-style environments.

Browse all labs

Flat Scan vs Signed Projection Index

30 min · intermediate · Vector Indexing

Brute-Force Top-k in Pure Python

25 min · beginner · Similarity Search

Keyword Plus Semantic Blending

30 min · intermediate · Hybrid Search

Filter Before You Score

25 min · beginner · Metadata Filtering

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