Pinecone · Schema
CollectionModel
The CollectionModel describes the configuration and status of a Pinecone collection.
Vector DatabasesArtificial IntelligenceEmbeddingsRAG
Properties
| Name | Type | Description |
|---|---|---|
| name | string | The name of the collection. |
| size | integer | The size of the collection in bytes. |
| status | string | The status of the collection. Possible values: `Initializing`, `Ready`, or `Terminating`. |
| dimension | integer | The dimension of the vectors stored in each record held in the collection. |
| vector_count | integer | The number of records stored in the collection. |
| environment | string | The environment where the collection is hosted. |
JSON Schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "#/components/schemas/CollectionModel",
"title": "CollectionModel",
"description": "The CollectionModel describes the configuration and status of a Pinecone collection.",
"type": "object",
"properties": {
"name": {
"example": "example-collection",
"description": "The name of the collection.",
"type": "string"
},
"size": {
"example": 10000000,
"description": "The size of the collection in bytes.",
"type": "integer",
"format": "int64"
},
"status": {
"example": "Initializing",
"description": "The status of the collection.\nPossible values: `Initializing`, `Ready`, or `Terminating`.",
"x-enum": [
"Initializing",
"Ready",
"Terminating"
],
"type": "string"
},
"dimension": {
"example": 1536,
"description": "The dimension of the vectors stored in each record held in the collection.",
"type": "integer",
"format": "int32",
"minimum": 1,
"maximum": 20000
},
"vector_count": {
"example": 120000,
"description": "The number of records stored in the collection.",
"type": "integer",
"format": "int32"
},
"environment": {
"example": "us-east1-gcp",
"description": "The environment where the collection is hosted.",
"type": "string"
}
},
"required": [
"name",
"status",
"environment"
]
}
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