Syrus AI Embeddings Model (Gemma 4) icon

Syrus AI Embeddings Model (Gemma 4)

Embeddings Model Syrus AI (Custom Implementation)

Syrus AI Embeddings Model (Gemma 4)

AI-generated

Summary

Generate vector embeddings for text documents using the Syrus AI Embeddings Model (Gemma 4) by sending each document to the Syrus AI API and retrieving its embedding values.

Inputs

None.

Output shape

a single AI embedding vector or an array of embedding vectors for the provided text documents.

This operation requires Syrus AI API credentials and outputs the embeddings via the 'ai_embedding' output. It does not accept direct input parameters in the node's UI; you provide documents to embed programmatically or via connected nodes.

Examples

Example 1: Embedding multiple text documents

No explicit UI parameters; the node uses configured Syrus AI API credentials and accepts documents from previous nodes in the workflow, then outputs vectors representing each document's semantics.

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