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- Create Vector Store
ActionOpenAIUpdated May 2026
How do I create an OpenAI vector store?
Short answer: Drop the "OpenAI → Create Vector Store" 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 |
|---|---|---|---|
Name name | string | Required | Product Docs Q4 |
File IDs file_ids | array | Optional | Files (already uploaded with purpose=assistants) to attach |
Expires After (days) expires_after_days | string | Optional | Auto-expire after N days of last activity. Leave empty for no expiry. |
Sample request
{"name": "Product Docs Q4","file_ids": "{{trigger.file_ids}}","expires_after_days": "7"}
Returns
{"id": "vs_abc","name": "Product Docs Q4","status": "in_progress","file_counts": {"total": 5,"failed": 0,"completed": 0}}
Use these fields in downstream nodes for routing, logging, or error handling.
Triggered by
Apps that pair well as the trigger for Create Vector Store.
Any of these apps can fire this action as part of a workflow.
FAQ
Questions about Create Vector Store.
What does the Create Vector Store action do in OpenAI?
Creates a vector store (used by the File Search tool in Responses/Assistants). OpenAI handles chunking, embedding, and indexing of any files you attach.
What inputs does Create Vector Store require?
Required: Name. 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 OpenAI 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 Vector Store support batch operations?
Yes. Run Create Vector Store inside a Loop node to process arrays. Tiny Command handles OpenAI's rate limits automatically so you don't have to throttle manually.
More actions
Other OpenAI actions.
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Analyzes an image using GPT-4o vision, accepting a URL or base64-encoded image plus a text prompt. Use for OCR, chart extraction, alt-text generation, or visual QA.
ActionChat Completion
Sends a message and gets a response from an OpenAI chat model (gpt-4o, gpt-4o-mini, o-series, etc.). The standard chat-completion action; supports system prompts, temperature, and stop sequences.
ActionChat with Tools
Chat completion with tool/function calling enabled. The model may return tool_calls instead of (or in addition to) text; you execute them and feed results back as tool messages for the next turn.
ActionCreate Batch
Submits a batch of OpenAI requests at a 50% cost discount with a 24-hour SLA. Requires an uploaded JSONL file id with one request per line. Perfect for bulk classification or embedding jobs.
ActionCreate Embedding
Generates vector embeddings for text using text-embedding-3-small or text-embedding-3-large. The de-facto embeddings default for RAG and semantic search.
ActionCreate Image (DALL-E)
Generates images from a text prompt using DALL-E (or gpt-image-1). Supports size, quality, and style controls; returns a URL or base64-encoded image.
Send create vector store from your workflows.
Triggered by anything in the catalog. Free tier available. No credit card.