- Integrations
- /
- Google Gemini
- /
- Actions
- /
- Gemini Embed Content
ActionGoogle GeminiUpdated May 2026
How do I generate Gemini embeddings?
Short answer: Drop the "Google Gemini → Gemini Embed Content" 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 |
|---|---|---|---|
Embedding Model model | options | Required | Embedding Model. Options: Gemini Embedding 001 (3K dim), Text Embedding 004 |
Text text | string | Required | Text (required) |
Sample request
{"model": "{{trigger.model}}","text": "{{trigger.text}}"}
Returns
{"embedding": {"values": [0.012,-0.045]}}
Use these fields in downstream nodes for routing, logging, or error handling.
Triggered by
Apps that pair well as the trigger for Gemini Embed Content.
Any of these apps can fire this action as part of a workflow.
FAQ
Questions about Gemini Embed Content.
What does the Gemini Embed Content action do in Google Gemini?
Generates embeddings using text-embedding-004 or gemini-embedding-001. For RAG-pipeline vector generation in Google AI ecosystem workflows.
What inputs does Gemini Embed Content 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 Google Gemini 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 Gemini Embed Content support batch operations?
Yes. Run Gemini Embed Content inside a Loop node to process arrays. Tiny Command handles Google Gemini's rate limits automatically so you don't have to throttle manually.
More actions
Other Google Gemini actions.
Action
Count Gemini Tokens
Returns the token count for a prompt before submitting. Useful for "is this prompt too long for the context window?" pre-flight checks on long-document workflows.
ActionGemini Generate Content
Runs a multimodal completion (text, images, video, audio) against Gemini models. Supports system instruction, tools/function-calling, JSON mode, configurable safety settings. The base hook for any Gemini-based LLM workflow.
ActionGenerate Image with Imagen
Generates images via Google's Imagen models. For workflows that need Google-AI-ecosystem image generation rather than going to Flux/Midjourney/DALL-E directly.
ActionList Gemini Models
Returns the current Gemini catalog with context windows and capabilities. For model-selection workflows that need to choose between pro/flash/ultra tiers.
ActionUpload File for Gemini
Uploads a file to Gemini's Files API. Useful for media >20MB or when reusing the same file across multiple Generate Content calls. Files auto-delete after 48 hours.
Send gemini embed content from your workflows.
Triggered by anything in the catalog. Free tier available. No credit card.