Pinecone · Schema
EmbeddingsList
Embeddings generated for the input.
Vector DatabasesArtificial IntelligenceEmbeddingsRAG
Properties
| Name | Type | Description |
|---|---|---|
| model | string | The model used to generate the embeddings |
| vector_type | string | Indicates whether the response data contains 'dense' or 'sparse' embeddings. |
| data | array | The embeddings generated for the inputs. |
| usage | object | Usage statistics for the model inference. |
JSON Schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "#/components/schemas/EmbeddingsList",
"title": "EmbeddingsList",
"description": "Embeddings generated for the input.",
"type": "object",
"properties": {
"model": {
"example": "multilingual-e5-large",
"description": "The model used to generate the embeddings",
"type": "string"
},
"vector_type": {
"example": "dense",
"description": "Indicates whether the response data contains 'dense' or 'sparse' embeddings.",
"type": "string"
},
"data": {
"description": "The embeddings generated for the inputs.",
"type": "array",
"items": {
"$ref": "#/components/schemas/Embedding"
}
},
"usage": {
"description": "Usage statistics for the model inference.",
"type": "object",
"properties": {
"total_tokens": {
"example": 205,
"description": "Total number of tokens consumed across all inputs.",
"type": "integer",
"format": "int32",
"minimum": 0
}
}
}
},
"required": [
"model",
"vector_type",
"data",
"usage"
]
}
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