Connect Notificare and Pinecone to Build Intelligent Automations
Enable Integrations or automations with these events of Notificare and Pinecone
Enable Integrations or automations with these events of Notificare and Pinecone
Actions
Create Application
Create a new application.
Update Application
Modify an application.
Delete Application
Delete Application
Create an index
Create an index for vectors created with an external embedding model.
Generate vectors
Generate vector embeddings for input data.
Delete an Index
Removes a specified index by its ID or name.
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Frequently Asked Questions
To start, connect both your Notificare and Pinecone accounts to viaSocket. Once connected, you can set up a workflow where an event in Notificare triggers actions in Pinecone (or vice versa).
Absolutely. You can customize how Notificare 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 Notificare 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 Notificare 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 Notificare
Notificare is a comprehensive platform designed to enhance customer engagement through personalized notifications and messaging. It offers tools for creating, managing, and analyzing push notifications, in-app messaging, and email campaigns, helping businesses to effectively reach and interact with their audience.
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.
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