Pinecone · Schema
QueryVector
A single query vector within a `QueryRequest`.
Vector DatabasesArtificial IntelligenceEmbeddingsRAG
Properties
| Name | Type | Description |
|---|---|---|
| values | array | The query vector values. This should be the same length as the dimension of the index being queried. |
| sparseValues | object | |
| topK | integer | An override for the number of results to return for this query vector. |
| namespace | string | An override the namespace to search. |
| filter | object | An override for the metadata filter to apply. This replaces the request-level filter. |
JSON Schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "#/components/schemas/QueryVector",
"title": "QueryVector",
"deprecated": true,
"description": "A single query vector within a `QueryRequest`.",
"type": "object",
"properties": {
"values": {
"example": [
0.1,
0.2,
0.3,
0.4,
0.5,
0.6,
0.7,
0.8
],
"description": "The query vector values. This should be the same length as the dimension of the index being queried.",
"type": "array",
"required": [
"values"
],
"items": {
"type": "number",
"format": "float"
},
"minLength": 1,
"maxLength": 20000
},
"sparseValues": {
"$ref": "#/components/schemas/SparseValues"
},
"topK": {
"example": 10,
"description": "An override for the number of results to return for this query vector.",
"type": "integer",
"format": "int64",
"minimum": 1,
"maximum": 10000
},
"namespace": {
"example": "example-namespace",
"description": "An override the namespace to search.",
"type": "string"
},
"filter": {
"example": {
"genre": {
"$in": [
"comedy",
"documentary",
"drama"
]
},
"year": {
"$eq": 2019
}
},
"description": "An override for the metadata filter to apply. This replaces the request-level filter.",
"type": "object"
}
},
"required": [
"values"
]
}
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