struct OpenAI::Embedding

• OpenAI::Embedding
• Struct
• Value
• Object

Overview

Embedding is a special format of data representation that can be easily utilized by machine learning models and algorithms. The embedding is an information dense representation of the semantic meaning of a piece of text. Each embedding is a vector of floating point numbers, such that the distance between two embeddings in the vector space is correlated with semantic similarity between two inputs in the original format. For example, if two texts are similar, then their vector representations should also be similar.

Included Modules

• JSON::Serializable

Extended Modules

• JSON::Schema

Defined in:

openai/api/embeddings.cr

Constructors

• .new(pull : JSON::PullParser)

Instance Method Summary

• #embedding : Array(Float32)

  The embedding vector, which is a list of floats.

• #index : Int32

  The index of the embedding in the list of embeddings.

• #object : String

  The object type, which is always "embedding".

Constructor Detail

Instance Method Detail