QualityRankembedMustangMustangRankEmbedInfoCompressedEmbedding

AI Overview😉

  • The potential purpose of this module is to compress and store complex data structures, such as embeddings, in a efficient way, allowing for faster and more efficient processing of search queries.
  • This module could impact search results by allowing Google's algorithm to quickly retrieve and process relevant data, potentially leading to more accurate and relevant search results. The compression of embeddings could also enable the algorithm to handle larger and more complex datasets, further improving search results.
  • A website may change things to be more favorable for this function by optimizing their content and data structures to be more easily compressible and processable by the algorithm. This could involve using standardized data formats, reducing data redundancy, and ensuring that critical information is easily accessible and extractable. Additionally, websites may benefit from using techniques such as entity disambiguation and semantic tagging to provide more structured and meaningful data for the algorithm to process.

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GoogleApi.ContentWarehouse.V1.Model.QualityRankembedMustangMustangRankEmbedInfoCompressedEmbedding (google_api_content_warehouse v0.4.0)

Attributes

  • packedValue (type: list(String.t), default: nil) - using fixed64 instead of uint64 saves ~14% is storage
  • value (type: list(String.t), default: nil) -

Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

Link to this type

t()

@type t() ::
  %GoogleApi.ContentWarehouse.V1.Model.QualityRankembedMustangMustangRankEmbedInfoCompressedEmbedding{
    packedValue: [String.t()] | nil,
    value: [String.t()] | nil
  }

Functions

Link to this function

decode(value, options)

@spec decode(struct(), keyword()) :: struct()

Unwrap a decoded JSON object into its complex fields.