What is an embedding used for?

Embeddings are used by AI systems to understand the semantic similarity between different pieces of text, which is essential for search and RAG systems.

How are embeddings created?

They are generated by specialized embedding models that convert text strings into long arrays of numbers (vectors).

Why can't the AI just read the text directly?

AI models only process numbers. Embeddings translate human language into a mathematical format that the AI can efficiently analyze and compare.

Technology

What is Embedding?

A numerical representation of text, images, or audio as a vector in a high-dimensional space.

Short answer

An Embedding is a numerical representation of text, where words or sentences with similar meanings are mapped to points that are close together in a mathematical space.

Embeddings capture the semantic meaning of data. In this space, similar concepts are located closer together. This allows AI systems to understand that 'king' and 'queen' are related, or that 'dog' and 'canine' are similar.

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