ActionVoyage AIUpdated May 2026

How do I embed text and images together with Voyage AI?

Short answer: Drop the "Voyage AI → Multimodal Embeddings" action anywhere in your workflow, map the inputs from upstream nodes, and publish.

Use this action All 3 Voyage AI actions

Inputs

The fields this action accepts.

Every field can be mapped from an upstream trigger, AI step, table row, or hard-coded literal.

Field	Type	Required	Description
Model model	options	Required	Model. Options: Voyage Multimodal 3
Text text	string	Optional	Text
Image URL image_url	string	Optional	A fully qualified URL (https://...) for the image url.

Sample request

{
  "model": "{{trigger.model}}",
  "text": "{{trigger.text}}",
  "image_url": "https://example.com/image.png"
}

Returns

{
  "data": [
    {
      "index": 0,
      "embedding": [
        0.012
      ]
    }
  ]
}

Use these fields in downstream nodes for routing, logging, or error handling.

Triggered by

Apps that pair well as the trigger for Multimodal Embeddings.

Any of these apps can fire this action as part of a workflow.

Google Sheets → Voyage AI

2 Google Sheets triggers

HubSpot → Voyage AI

18 HubSpot triggers

FAQ

Questions about Multimodal Embeddings.

What does the Multimodal Embeddings action do in Voyage AI?

Embeds text and images in a shared vector space using Voyage's multimodal model. Use when you need cross-modal retrieval (find images by text query, or vice-versa).

What inputs does Multimodal Embeddings require?

Required: Model. Every input accepts a static value or a variable from any upstream node in your workflow.

Can I use dynamic inputs from earlier workflow nodes?

Yes. Any field on this action can pull values from upstream nodes, whether that's a form response, a trigger payload, an AI output, or a lookup result.

What happens if Voyage AI returns an error?

The workflow pauses on the failed node, the error message is captured in the run log, and you can retry the run with one click. Auto-retry policies are configurable per workflow with exponential backoff up to 5 attempts.

Does Multimodal Embeddings support batch operations?

Yes. Run Multimodal Embeddings inside a Loop node to process arrays. Tiny Command handles Voyage AI's rate limits automatically so you don't have to throttle manually.

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