Module `netapp_ontap.models.datacollection_embedding`

This file has been automatically generated based on the ONTAP REST API documentation.

Classes

class DatacollectionEmbeddingSchema (*, only: types.StrSequenceOrSet | None = None, exclude: types.StrSequenceOrSet = (), many: bool | None = None, context: dict | None = None, load_only: types.StrSequenceOrSet = (), dump_only: types.StrSequenceOrSet = (), partial: bool | types.StrSequenceOrSet | None = None, unknown: str | None = None)

The fields of the DatacollectionEmbedding object

Ancestors

netapp_ontap.resource.ResourceSchema
marshmallow.schema.Schema
marshmallow.base.SchemaABC
abc.ABC

Class variables

chunk_size: Size GET POST PATCH

The chunk size value in the range (3..1536)

Example: 1536

chunk_type: str GET POST PATCH

The type of chunking.

Valid choices:

sentence
paragraph
full_file
semantic
fixed_size
recursive

dimension: Size GET POST PATCH

The dimension of vectorization.

Example: 1024

enabled: bool GET POST PATCH

Indicates whether vectorization is enabled.

Example: true

quantization: str GET POST PATCH

The vector quantization value.

Valid choices:

fp32
fp16
fp8
uint8

re_rank: bool GET POST PATCH

Indicates whether re_rank is enabled

Example: true