Set up a vector collection for address data
Describe the address data use case and provide the embedding dimension so Apipie ai can create the collection through Notis.
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
Vector setup can be delayed when collection dimensions and model requirements are not kept together.
- Create a collection through a plain language request.
- Keep the needed embedding dimension explicit in the setup request.
- Avoid repeating setup steps across tools.
Setup
Build it in a few focused steps.
- 1Connect Addressfinder and Apipie ai once in the Notis portal.
- 2Create an automation for creating address data vector collections.
- 3Tell Notis to create the requested Apipie ai vector collection using the embedding dimension supplied in the request and verify that it matches the intended embedding model.
- 4Choose the webhook trigger and send collection setup requests to its HTTP endpoint.
- 5Choose where run reports go, then test with one real collection request and a confirmed dimension.
Questions about this workflow
What must I supply for the collection?
Supply the collection details and the embedding dimension. The dimension must match the embedding model you intend to use.
Does this action create embeddings?
No. It creates a vector collection. The supplied dimension must match the embedding model used for embeddings.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Addressfinder to Apipie ai. A trigger fires from one place; an action lands in another.
Addressfinder 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.
Addressfinder and Apipie ai, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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