Pinecone · Schema
FetchByMetadataRequest
The request for the `fetch_by_metadata` operation.
Vector DatabasesArtificial IntelligenceEmbeddingsRAG
Properties
| Name | Type | Description |
|---|---|---|
| namespace | string | The namespace to fetch vectors from. |
| filter | object | Metadata filter expression to select vectors. See [Understanding metadata](https://docs.pinecone.io/guides/index-data/indexing-overview#metadata). |
| limit | integer | Max number of vectors to return. |
| paginationToken | string | Pagination token to continue a previous listing operation. |
JSON Schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "#/components/schemas/FetchByMetadataRequest",
"title": "FetchByMetadataRequest",
"description": "The request for the `fetch_by_metadata` operation.",
"type": "object",
"properties": {
"namespace": {
"example": "example-namespace",
"description": "The namespace to fetch vectors from.",
"type": "string"
},
"filter": {
"example": {
"genre": {
"$in": [
"comedy",
"documentary",
"drama"
]
},
"year": {
"$eq": 2019
}
},
"description": "Metadata filter expression to select vectors. See [Understanding metadata](https://docs.pinecone.io/guides/index-data/indexing-overview#metadata).",
"type": "object"
},
"limit": {
"example": 12,
"description": "Max number of vectors to return.",
"default": 100,
"type": "integer",
"format": "int64",
"minimum": 1
},
"paginationToken": {
"example": "Tm90aGluZyB0byBzZWUgaGVyZQo=",
"description": "Pagination token to continue a previous listing operation.",
"type": "string"
}
}
}
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