{
  "altLabels": [
    "Vector Embedding"
  ],
  "definition": "A vector representation of an item, token, query, document, or other object in a continuous or otherwise structured representation space.",
  "derivedRelations": [
    {
      "target": "mteb",
      "type": "evaluatedBy"
    },
    {
      "note": "Chunking decides the units to represent; embedding is the representation of a unit.",
      "target": "chunking",
      "type": "notEquivalentTo"
    },
    {
      "note": "MTEB is a benchmark suite for evaluating embedding models; an embedding is a vector representation.",
      "target": "mteb",
      "type": "notEquivalentTo"
    },
    {
      "note": "The vector space model is a retrieval model over term-weighted vectors; an embedding is a learned vector representation that may be used in many retrieval or non-retrieval settings.",
      "target": "vector-space-model",
      "type": "notEquivalentTo"
    },
    {
      "target": "chunking",
      "type": "related"
    },
    {
      "target": "cross-modal-retrieval",
      "type": "related"
    },
    {
      "target": "mteb",
      "type": "related"
    },
    {
      "target": "reverse-image-search",
      "type": "related"
    }
  ],
  "distinctions": [
    {
      "reason": "A dense encoder is a component or model that produces dense representations; an embedding is the produced representation.",
      "statement": "Embedding is not Dense Encoder.",
      "target": "dense-encoder",
      "targetLabel": "Dense Encoder",
      "targetUri": "https://id.searchplex.net/dense-encoder/"
    },
    {
      "reason": "An embedding is a representation; dense retrieval is a retrieval approach that may use dense embeddings.",
      "statement": "Embedding is not Dense Retrieval.",
      "target": "dense-retrieval",
      "targetLabel": "Dense Retrieval",
      "targetUri": "https://id.searchplex.net/dense-retrieval/"
    },
    {
      "reason": "Vector search retrieves over vector representations; an embedding is one such representation.",
      "statement": "Embedding is not Vector Search.",
      "target": "vector-search",
      "targetLabel": "Vector Search",
      "targetUri": "https://id.searchplex.net/vector-search/"
    }
  ],
  "id": "embedding",
  "kind": "Representation",
  "license": "https://creativecommons.org/publicdomain/zero/1.0/",
  "links": [
    {
      "label": "Google Machine Learning Crash Course: Embeddings",
      "type": "officialHomepage",
      "url": "https://developers.google.com/machine-learning/crash-course/embeddings"
    }
  ],
  "modifiedAt": "2026-09-14T06:43:46Z",
  "prefLabel": "Embedding",
  "publisher": {
    "name": "Searchplex",
    "url": "https://searchplex.net/"
  },
  "relations": [
    {
      "note": "A dense encoder is a component or model that produces dense representations; an embedding is the produced representation.",
      "target": "dense-encoder",
      "type": "notEquivalentTo"
    },
    {
      "note": "An embedding is a representation; dense retrieval is a retrieval approach that may use dense embeddings.",
      "target": "dense-retrieval",
      "type": "notEquivalentTo"
    },
    {
      "note": "Vector search retrieves over vector representations; an embedding is one such representation.",
      "target": "vector-search",
      "type": "notEquivalentTo"
    },
    {
      "target": "dense-encoder",
      "type": "related"
    },
    {
      "target": "dense-retrieval",
      "type": "related"
    },
    {
      "target": "multi-vector-retrieval",
      "type": "related"
    },
    {
      "target": "single-vector-retrieval",
      "type": "related"
    },
    {
      "target": "vector-search",
      "type": "related"
    }
  ],
  "representations": {
    "html": "https://id.searchplex.net/embedding/",
    "json": "https://id.searchplex.net/embedding.json",
    "jsonld": "https://id.searchplex.net/embedding.jsonld"
  },
  "scheme": "https://id.searchplex.net/scheme/",
  "scopeNote": "In retrieval systems, embeddings are commonly used as vector representations for similarity search, dense retrieval, reranking, clustering, or generation support. An embedding is the representation object, not the model that produced it and not the retrieval system that searches over it.",
  "status": "published",
  "uri": "https://id.searchplex.net/embedding/"
}