Set up a vector collection with the right dimension
Turn a collection setup request into an Apipie AI vector collection, with the embedding dimension supplied up front.
Trigger
Webhook received
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Action
Create Vector Collection
Create a vector collection for storing embeddings with a specified dimension.
Why this helps
Collection setup can be delayed by context switching and by missing the dimension that must match the embedding model.
- Create a collection using a supplied name and dimension.
- Keep the required embedding dimension visible in the request.
- Reduce manual setup steps for vector database work.
Setup
Build it in a few focused steps.
- 1Connect AnyDB and Apipie AI once in the Notis portal.
- 2Create an automation in Automations, New Automation, or tell Notis in plain language from any channel.
- 3In one instruction, ask Notis to create the named Apipie AI vector collection using the explicitly supplied dimension that matches the intended embedding model.
- 4Choose a webhook trigger and select where run reports should go.
- 5Test with one real example and confirm the dimension is supplied.
Questions about this workflow
Can Notis infer the vector dimension from the model?
Do not rely on inference. Supply a dimension that matches the embedding model you intend to use.
What if the collection name or dimension is missing?
The automation should report the missing detail rather than create a collection using guessed values.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link AnyDB to Apipie ai. A trigger fires from one place; an action lands in another.
AnyDB triggers
Apipie ai actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Delete Vectors
Deletes selected vectors or all vectors in a collection.
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Anonymize Sensitive Text
Replace personal data in text with truncated SHA-256 hashes and return a mapping of replacements.
Create Vector Collection
Create a vector collection for storing embeddings with a specified dimension.
Get query history
Shows past usage activity, including performance, costs, and source details.
Delete state
Delete app-level state, or specific user state when requested.
List AI Models
Lists available AI models with their pricing, availability, and capabilities.
Get Detailed Models
Retrieve detailed information about available AI models, including pricing and capabilities.
Get state
Retrieve current state settings for an app or a specific user.
Connect any two apps with Notis in the middle.
AnyDB and Apipie ai, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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