Set up a vector collection for research data
Create a collection when a research workflow needs one, 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
A collection created with the wrong dimension can block the embedding workflow that depends on it.
- Creates a new vector collection on request.
- Makes the required embedding dimension explicit in the instruction.
- Returns a report of the creation result.
Setup
Build it in a few focused steps.
- 1Connect Adyntel and Apipie ai once in the Notis portal.
- 2Create an automation in Automations, New Automation, and give it a name and prompt.
- 3In one instruction, ask Notis to create a collection using the requested name and dimension, which must match your chosen embedding model.
- 4Choose notis_webhook as the trigger and select where run reports should go.
- 5Test with one real collection request and its intended embedding model dimension.
Questions about this workflow
Can the workflow choose the dimension for me?
Supply the dimension in the request or prompt and confirm it matches the embedding model you intend to use.
Does this populate the collection with data?
No. The action creates a collection; it does not describe adding vectors.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Adyntel to Apipie ai. A trigger fires from one place; an action lands in another.
Adyntel 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.
Adyntel and Apipie ai, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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