ActionMistral AIUpdated September 2026

How do I generate Mistral embeddings?

Short answer: You can mistral embedding in Mistral AI by hand from its own interface, but it won’t repeat itself. On TinyCommand, add the Mistral AI Mistral Embedding action to a workflow, map its 2 inputs from any upstream app, and it runs automatically every time the trigger fires. No code, and a free tier to start.

Mistral Embedding in Mistral AI — start free All 6 Mistral AI actions

Mistral Embedding in Mistral AI — start free

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
Text input	string	Required	Text. e.g. "Text to embed"
Model model	options	Optional	Model. Options: Mistral Embed

Sample request

{
  "input": "Text to embed",
  "model": "{{trigger.model}}"
}

Returns

{
  "data": [
    {
      "index": 0,
      "embedding": [
        0.1,
        -0.2,
        0.3
      ]
    }
  ],
  "model": "mistral-embed",
  "usage": {
    "total_tokens": 10,
    "prompt_tokens": 10
  }
}

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

Triggered by

Apps that pair well as the trigger for Mistral Embedding.

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

Google Sheets → Mistral AI

2 Google Sheets triggers

HubSpot → Mistral AI

18 HubSpot triggers

FAQ

Questions about Mistral Embedding.

What does the Mistral Embedding action do in Mistral AI?

Generates embeddings with mistral-embed. For RAG-pipeline vector generation when you want EU-hosted embedding inference.

What inputs does Mistral 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 Mistral AI returns an error?

The run history shows the failed step with its input and the error message Mistral AI returned, so you can fix the input and run the workflow again. Automatic retries are built into HTTP steps only, where you can also set your own retry count and delay.

Does Mistral Embedding support batch operations?

Run Mistral Embedding inside a loop to process each item in an array. TinyCommand does not throttle calls for you, so for large arrays add a Delay step if you need to stay within Mistral AI's rate limits.

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