Connect Cradl AI and Pinecone to Build Intelligent Automations
Choose a Trigger
When this happens...
New Document
New Dataset
Choose an Action
Automatically do this!
Create an index
Generate vectors
Delete an Index
Fetch Index by Name
Ready to use Cradl AI and Pinecone automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Document
Triggers when a new document is created.
New Dataset
Triggers when a new dataset is created.
Do thisActions
Action is the task that follows automatically within your Cradl AI integrations.
List Documents
Get all existing documents.
Create Dataset
Create a new dataset.
Create Document
Create a new document.
List users
Get all existing users.
List Agent
List all Agent in Cradl AI.
Create agent
Create a new agent.
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Frequently Asked Questions
To start, connect both your Cradl AI and Pinecone accounts to viaSocket. Once connected, you can set up a workflow where an event in Cradl AI triggers actions in Pinecone (or vice versa).
Absolutely. You can customize how Cradl AI data is recorded in Pinecone. This includes choosing which data fields go into which fields of Pinecone, setting up custom formats, and filtering out unwanted information.
The data sync between Cradl AI and Pinecone typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Cradl AI and Pinecone. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Cradl AI
Cradl AI is a no-code tool for automating document workflows using customized AI - fully automated or with human-in-the-loop validation.
Learn MoreAbout Pinecone
Pinecone is a vector database designed to provide fast and scalable similarity search and machine learning applications. It enables developers to build high-performance applications that require real-time vector search and retrieval, making it ideal for AI-driven solutions.
Learn More
