Pinecone · Schema

ModelInfo

Represents the model configuration including model type, supported parameters, and other model details.

Vector DatabasesAIEmbeddingsRAG

Properties

Name	Type	Description
model	string	The name of the model.
short_description	string	A summary of the model.
type	string	The type of model (e.g. 'embed' or 'rerank').
vector_type	string	Whether the embedding model produces 'dense' or 'sparse' embeddings.
default_dimension	integer	The default embedding model dimension (applies to dense embedding models only).
modality	string	The modality of the model (e.g. 'text').
max_sequence_length	integer	The maximum tokens per sequence supported by the model.
max_batch_size	integer	The maximum batch size (number of sequences) supported by the model.
provider_name	string	The name of the provider of the model.
supported_dimensions	array	The list of supported dimensions for the model (applies to dense embedding models only).
supported_metrics	object
supported_parameters	array	List of parameters supported by the model.

View JSON Schema on GitHub

JSON Schema

{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "#/components/schemas/ModelInfo",
  "title": "ModelInfo",
  "description": "Represents the model configuration including model type, supported parameters, and other model details.",
  "type": "object",
  "properties": {
    "model": {
      "example": "multilingual-e5-large",
      "description": "The name of the model.",
      "type": "string"
    },
    "short_description": {
      "example": "multilingual-e5-large",
      "description": "A summary of the model.",
      "type": "string"
    },
    "type": {
      "example": "embed",
      "description": "The type of model (e.g. 'embed' or 'rerank').",
      "type": "string"
    },
    "vector_type": {
      "description": "Whether the embedding model produces 'dense' or 'sparse' embeddings.",
      "type": "string"
    },
    "default_dimension": {
      "example": 1024,
      "description": "The default embedding model dimension (applies to dense embedding models only).",
      "type": "integer",
      "format": "int32",
      "minimum": 1,
      "maximum": 20000
    },
    "modality": {
      "example": "text",
      "description": "The modality of the model (e.g. 'text').",
      "type": "string"
    },
    "max_sequence_length": {
      "example": 512,
      "description": "The maximum tokens per sequence supported by the model.",
      "type": "integer",
      "format": "int32",
      "minimum": 1
    },
    "max_batch_size": {
      "example": 96,
      "description": "The maximum batch size (number of sequences) supported by the model.",
      "type": "integer",
      "format": "int32",
      "minimum": 1
    },
    "provider_name": {
      "example": "NVIDIA",
      "description": "The name of the provider of the model.",
      "type": "string"
    },
    "supported_dimensions": {
      "description": "The list of supported dimensions for the model (applies to dense embedding models only).",
      "type": "array",
      "items": {
        "example": 1024,
        "type": "integer",
        "format": "int32",
        "minimum": 1,
        "maximum": 20000
      }
    },
    "supported_metrics": {
      "$ref": "#/components/schemas/ModelInfoSupportedMetrics"
    },
    "supported_parameters": {
      "description": "List of parameters supported by the model.",
      "type": "array",
      "items": {
        "$ref": "#/components/schemas/ModelInfoSupportedParameter"
      }
    }
  },
  "required": [
    "model",
    "short_description",
    "type",
    "supported_parameters"
  ]
}