Embeddings Provider

Integrate services to transform text into vectors for semantic search.

Transform your text into vector representations! Embeddings let you add Retrieval-Augmented Generation (RAG) into your AI applications.

Generate Embeddings

Here's how to generate embeddings with just a few lines of code:

$provider = new VoyageEmbeddingProvider(
    key: 'VOYAGE_API_KEY',
    model: 'VOYAGE_API_MODEL',
);

$embeddings = $provider->embedText("Hi, I'm Valerio, CTO of Inspector.dev");

Data loader

Now you need the ability to convert all the information you have into text, so you can generate embeddings to be saved into a vector store.

Neuron gives you several tools (data loaders) to simplify this process.

$provider = new VoyageEmbeddingProvider(
    key: 'VOYAGE_API_KEY',
    model: 'VOYAGE_API_MODEL',
);

// Use the file data loader component
$embeddedDocuments = $provider->embedDocuments(
    FileDataLoader::file(__DIR__.'/readme.md')->getDocuments()
);

Neuron Data Loader is just an helper, you are free to use any kind of technique to transform your raw data into text to generate embeddings.

Go to the next section to learn how to use and extend data loaders.

Data loader