Create a vector collection for investor research
Set up a new collection for research data with a dimension that matches the intended embedding model.
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 an incompatible dimension can derail vector search setup later.
- Creates a collection for a defined research purpose
- Makes embedding dimension an explicit setup consideration
- Supports a more intentional vector data workflow
Setup
Build it in a few focused steps.
- 1Connect Affinity and Apipie ai once in the Notis portal.
- 2Create an automation in Automations, New Automation, and name it.
- 3Tell Notis to create a vector collection only when the request specifies its name and the matching embedding dimension.
- 4Pick the webhook trigger and choose where run reports go.
- 5Test with one real collection request and verify the dimension matches the intended embedding model.
Questions about this workflow
How should I choose the dimension?
It must match the embedding model you plan to use. Confirm the model's dimension before creating the collection.
Does this populate the collection with data?
No. This action creates a collection; it does not upload or upsert vector data.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Affinity to Apipie ai. A trigger fires from one place; an action lands in another.
Affinity 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.
Affinity and Apipie ai, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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