ActionTogether AIUpdated May 2026

How do I generate embeddings on Together AI?

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

Use this action All 3 Together 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
Embedding Model model	options	Required	Which embedding model to use
Text text	string	Required	Text to embed

Sample request

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

Returns

{
  "data": [
    {
      "index": 0,
      "embedding": [
        0.0123,
        -0.0456
      ]
    }
  ],
  "model": "BAAI/bge-large-en-v1.5",
  "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 Embeddings.

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

Google Sheets → Together AI

2 Google Sheets triggers

HubSpot → Together AI

18 HubSpot triggers

FAQ

Questions about Create Embeddings.

What does the Create Embeddings action do in Together AI?

Generates vector embeddings using one of Together's open-weight embedding models (e.g. BGE, M2-BERT, UAE). Use for RAG, semantic search, or clustering pipelines.

What inputs does Create Embeddings require?

Required: Embedding 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 Together 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 Together AI's rate limits automatically so you don't have to throttle manually.

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