ActionNvidia NIMUpdated May 2026

How do I generate embeddings via Nvidia NIM?

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

Use this action All 3 Nvidia NIM 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: NV-Embed v1, NV-Embed v2, NV-EmbedQA Mistral 7B v2
Text input	string	Required	Text (required)
Input Type input_type	options	Optional	Input Type. Options: Query, Passage

Sample request

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

Returns

{
  "data": [
    {
      "embedding": [
        0.012
      ]
    }
  ],
  "model": "nvidia/nv-embed-v1"
}

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

Triggered by

Apps that pair well as the trigger for Nvidia NIM Embeddings.

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

Google Sheets → Nvidia NIM

2 Google Sheets triggers

HubSpot → Nvidia NIM

18 HubSpot triggers

FAQ

Questions about Nvidia NIM Embeddings.

What does the Nvidia NIM Embeddings action do in Nvidia NIM?

Generates embeddings using NIM-hosted models. For RAG-pipeline vector generation in enterprise workflows.

What inputs does Nvidia NIM Embeddings 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 Nvidia NIM 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 Nvidia NIM Embeddings support batch operations?

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

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