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Vector databases and embeddings

Semantic search: embeddings, indexes and vector stores.

Course program

Module 1

What embeddings are

1Why embeddings are neededFree2How an embedding worksFree3Embedder models and choosing them🔒
Module 2

Vector databases

4What a vector database is🔒5Approximate search and indexes🔒6Metadata, filters and hybrid search🔒
Module 3

Semantic search

7Semantic search in practice🔒8Updates, scale and performance🔒
Module 4

Hands-on

9Hands-on: building search step by step🔒10Bringing the vector-search approach together🔒