ActionWriterUpdated May 2026

How do I generate embeddings with Writer's Palmyra-Embedding?

Short answer: Drop the "Writer → Create Embedding" action anywhere in your workflow, map the inputs from upstream nodes, and publish.

Use this action All 3 Writer 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	Optional	Model. Options: Palmyra Embedding
Text input	string	Required	Text (required)

Sample request

{
  "model": "{{trigger.model}}",
  "input": "{{trigger.input}}"
}

Returns

{
  "data": [
    {
      "index": 0,
      "embedding": [
        0.012
      ]
    }
  ],
  "usage": {
    "total_tokens": 5,
    "prompt_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 Embedding.

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

Google Sheets → Writer

2 Google Sheets triggers

HubSpot → Writer

18 HubSpot triggers

FAQ

Questions about Create Embedding.

What does the Create Embedding action do in Writer?

Generates vector embeddings using Writer's Palmyra-Embedding model. Use for enterprise RAG pipelines where you want a single vendor for generation and embeddings.

What inputs does Create Embedding require?

Required: 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 Writer 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 Embedding support batch operations?

Yes. Run Create Embedding inside a Loop node to process arrays. Tiny Command handles Writer's rate limits automatically so you don't have to throttle manually.

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