A numerical vector representation of text, image or audio that captures meaning for similarity search.
1 min readupdated 2026-06-21
/ quick answer
An Embedding is a fixed-length vector produced by a model so that semantically similar inputs sit close together in vector space. Embeddings power semantic search, clustering, classification, deduplication and the retrieval step of RAG. A numerical vector representation of text, image or audio that captures meaning for similarity search.
A numerical vector representation of text, image or audio that captures meaning for similarity search. An Embedding is a fixed-length vector produced by a model so that semantically similar inputs sit close together in vector space. Embeddings power semantic search, clustering, classification, deduplication and the retrieval step of RAG. In practice: Embed every paragraph in your docs once, store the vectors, then at query time embed the user's question and return the closest paragraphs — even if they share no exact keywords. This dictionary node is part of the Onexial knowledge graph and links to related concepts, workflows and tools below.
Definition
An Embedding is a fixed-length vector produced by a model so that semantically similar inputs sit close together in vector space. Embeddings power semantic search, clustering, classification, deduplication and the retrieval step of RAG.
Example
Embed every paragraph in your docs once, store the vectors, then at query time embed the user's question and return the closest paragraphs — even if they share no exact keywords.
An Embedding is a fixed-length vector produced by a model so that semantically similar inputs sit close together in vector space. Embeddings power semantic search, clustering, classification, deduplication and the retrieval step of RAG.
What is an example of Embedding?
Embed every paragraph in your docs once, store the vectors, then at query time embed the user's question and return the closest paragraphs — even if they share no exact keywords.
Why does Embedding matter for AI and automation?
A numerical vector representation of text, image or audio that captures meaning for similarity search. It connects to the workflows, prompts and tool stacks linked on this page, so you can move from definition to execution without leaving Onexial.