Create a vector collection with the right dimension
Start collection setup with the embedding dimension your project requires.
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 break down when the collection dimension does not match the embedding model.
- Creates a new vector collection
- Uses a supplied embedding dimension
- Keeps collection setup request-driven
Setup
Build it in a few focused steps.
- 1Connect Ai ml api and Apipie ai once in the Notis portal.
- 2Create an automation from any channel or in Automations, then New Automation.
- 3Tell Notis to create a vector collection using the collection name and embedding dimension supplied in each webhook request.
- 4Pick the webhook trigger and choose where run reports should go.
- 5Test with one real collection setup request and confirm the dimension matches its embedding model.
Questions about this workflow
What must be supplied to create a collection?
Supply the collection setup details, including a dimension that matches the embedding model you will use.
What is a vector collection in this action?
The action describes it as a Pinecone-style index and namespace combined.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Ai ml api to Apipie ai. A trigger fires from one place; an action lands in another.
Ai ml api 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.
Ai ml api and Apipie ai, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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