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Vocabulary

Understand the term. Connect the concept.

A practical dictionary of 512 AI, machine learning, mathematics, and programming terms from HerbDev’s AI Vocabulary app. Start with a definition, explore an example, then follow the concepts behind it.

Linked concepts open in a new tab. Audio reads the definition and example.

Embedding

Embeddings & Vector Search · Level 3 of 5

Embedding

A numerical representation placing items in a vector space.

Geometric proximity reflects the training objective rather than universal meaning.

Example

A sentence is represented by a vector for similarity search.

Listen to the definition and example

Audio transcript

Embedding. A numerical representation placing items in a vector space. Geometric proximity reflects the training objective rather than universal meaning. For example: A sentence is represented by a vector for similarity search.

Explore this concept

A useful analogy

Coordinates on a learned map, where nearby items share task-relevant patterns.

Why it matters

This helps you understand why a retrieval system finds or misses related information.

Technical detail

An embedding maps a discrete item or input x to a vector e(x) in R^d. Distances are meaningful relative to its training objective.

Common misconception

An embedding is a vector representation, not the original text token itself.

Start with

Related concepts

Quick recall question

Try answering before looking back at the definition.

Put the terminology into context: How AI works · Machine-native representations · All learning paths

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