Pinecone · Schema

EmbeddingsList

Embeddings generated for the input.

Vector DatabasesAIEmbeddingsRAG

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.
View JSON Schema on GitHub

JSON Schema

pinecone-embeddingslist-schema.json Raw ↑ 
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$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"
  ]
}