Connect Mitto and Pinecone to Build Intelligent Automations
Enable Integrations or automations with these events of Mitto and Pinecone
Enable Integrations or automations with these events of Mitto and Pinecone
Actions
Send SMS in Bulk
Enables you to send same SMS to several receivers.
Send an SMS
Enables you to send an SMS to a single recipient.
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.
Fetch Index by Name
Returns details and structure of a specified index.
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Frequently Asked Questions
To start, connect both your Mitto and Pinecone accounts to viaSocket. Once connected, you can set up a workflow where an event in Mitto triggers actions in Pinecone (or vice versa).
Absolutely. You can customize how Mitto 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 Mitto 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 Mitto 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 Mitto
The Mitto integration enables apps to send enterprise grade SMS. Use it to send alerts, reminders, invites, marketing messages or any other kind of short message. We provide you a fast and reliable service which also brings you high conversion rates!
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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