WActionWeaviateUpdated September 2026
How do I list Weaviate collections?
Short answer: You can list collections in Weaviate by hand from its own interface, but it won’t repeat itself. On TinyCommand, add the Weaviate List Collections action to a workflow, map its 0 inputs from any upstream app, and it runs automatically every time the trigger fires. No code, and a free tier to start.
Sample request
{}
Returns
{"classes": [{"class": "Document","properties": [{"name": "content","dataType": ["text"]}]}]}
Use these fields in downstream nodes for routing, logging, or error handling.
Triggered by
Apps that pair well as the trigger for List Collections.
Any of these apps can fire this action as part of a workflow.
FAQ
Questions about List Collections.
What does the List Collections action do in Weaviate?
Lists every collection (class) defined in this Weaviate instance along with its vectorizer and property schema. Use as the first step in any cross-collection automation.
What inputs does List Collections require?
List Collections has no required inputs. Sensible defaults are applied if you leave fields blank.
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 Weaviate returns an error?
The run history shows the failed step with its input and the error message Weaviate 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 List Collections support batch operations?
Run List Collections 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 Weaviate's rate limits.
More actions
Other Weaviate actions.
Action
Insert Object
Inserts a single object into a Weaviate collection. Weaviate auto-embeds the text properties via the collection's configured vectorizer (e.g. text2vec-openai), or you can pass a precomputed vector array.
ActionSearch Objects
Runs a semantic GraphQL search: Weaviate vectorizes your query via the collection's configured vectorizer and returns the nearest-neighbor objects. Pass properties to control which fields come back.