Pinecone · Schema

ScoredVector

Vector DatabasesArtificial IntelligenceEmbeddingsRAG

Properties

Name Type Description
id string This is the vector's unique id.
score number This is a measure of similarity between this vector and the query vector. The higher the score, the more they are similar.
values array This is the vector data, if it is requested.
sparseValues object
metadata object This is the metadata, if it is requested.
View JSON Schema on GitHub

JSON Schema

pinecone-scoredvector-schema.json Raw ↑
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "#/components/schemas/ScoredVector",
  "title": "ScoredVector",
  "type": "object",
  "properties": {
    "id": {
      "example": "example-vector-1",
      "description": "This is the vector's unique id.",
      "type": "string",
      "required": [
        "id"
      ],
      "minLength": 1,
      "maxLength": 512
    },
    "score": {
      "example": 0.08,
      "description": "This is a measure of similarity between this vector and the query vector.  The higher the score, the more they are similar.",
      "type": "number",
      "format": "float"
    },
    "values": {
      "example": [
        0.1,
        0.2,
        0.3,
        0.4,
        0.5,
        0.6,
        0.7,
        0.8
      ],
      "description": "This is the vector data, if it is requested.",
      "type": "array",
      "items": {
        "type": "number",
        "format": "float"
      }
    },
    "sparseValues": {
      "$ref": "#/components/schemas/SparseValues"
    },
    "metadata": {
      "example": {
        "genre": "documentary",
        "year": 2019
      },
      "description": "This is the metadata, if it is requested.",
      "type": "object"
    }
  },
  "required": [
    "id"
  ]
}

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