Embedding

Numerical vector representations that encode semantic similarity and enable ML applications such as search and recommendation.

Embeddings are numerical vector representations of entities (words, documents, images) that capture semantic similarity.

Maturity

Established

Cognitive loadMedium

360° overview

Six perspectives place the building block in context. The numbers show where each perspective continues in the reading path.

The building block at a glance

Embedding

360°

2

2

Integrations

Vector databases/indexes (FAISS, Milvus, Annoy)

+2

1

Representation as vector space: semantic proximity implies similar meaning.

Value stream stage: Build

4

3

4