EmbeddingGenerator

↔️ Usage of EmbeddingGenerator\OpenAI

Explanation of Embedding

An "embedding" is a vector representation of text that captures semantic meanings of the words or phrases. These vectors are generated by deep learning models and can be used in machine learning applications to compare texts, search for similar content, or feed into other machine learning models for tasks like classification or clustering. Each component of the vector represents a dimension of the text's meaning, allowing the model to understand and process text similarly to how humans do but in a numerical form.

Usage of EmbeddingGenerator\OpenAI This section covers the different classes available for generating embeddings using OpenAI models. Below is a table summarizing the key details of each available class.

Class	Model	Embedding size
OpenAIADA002EmbeddingGenerator	text-embedding-ada-002	1536
OpenAI3SmallEmbeddingGenerator	text-embedding-3-small	1536
OpenAI3LargeEmbeddingGenerator	text-embedding-3-large	3072

Source: https://platform.openai.com/docs/guides/embeddings

Using the right class to pick one of the models:

use EasyAI\Embeddings\EmbeddingGenerator\OpenAI\OpenAI3SmallEmbeddingGenerator; // Using OpenAI3SmallEmbeddingGenerator

// Embedding
$embeddingGenerator = new OpenAI3SmallEmbeddingGenerator();
$embedding = $embeddingGenerator->embedText('Your text string to embed');