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- Create Embeddings
ActionVoyage AIUpdated May 2026
How do I generate Voyage AI embeddings?
Short answer: Drop the "Voyage AI → Create Embeddings" action anywhere in your workflow, map the inputs from upstream nodes, and publish.
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 3 Large (best quality), Voyage 3.5, Voyage 3.5 Lite (cheap) … |
Text text | string | Required | Text (required) |
Input Type input_type | options | Optional | Input Type. Options: Document, Query |
Sample request
{"model": "{{trigger.model}}","text": "{{trigger.text}}","input_type": "{{trigger.input_type}}"}
Returns
{"data": [{"index": 0,"embedding": [0.012,-0.045]}],"model": "voyage-3-large","usage": {"total_tokens": 5}}
Use these fields in downstream nodes for routing, logging, or error handling.
Triggered by
Apps that pair well as the trigger for Create Embeddings.
Any of these apps can fire this action as part of a workflow.
FAQ
Questions about Create Embeddings.
What does the Create Embeddings action do in Voyage AI?
Generates state-of-the-art text embeddings using Voyage AI, Anthropic's officially recommended embeddings provider. Strong default for RAG with Claude.
What inputs does Create Embeddings require?
Required: Model, Text. 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 Create Embeddings support batch operations?
Yes. Run Create 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.
More actions
Other Voyage AI actions.
Action
Multimodal Embeddings
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).
ActionRerank
Reranks a list of candidate documents against a query, returning relevance scores. Standard last-mile step after vector retrieval to boost RAG precision before feeding context to the LLM.
Send create embeddings from your workflows.
Triggered by anything in the catalog. Free tier available. No credit card.