Connect SerwerSMS and Pinecone to Build Intelligent Automations
Ready to use SerwerSMS and Pinecone automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Message Received
Triggers when a new message is received.
New Message Sent
Triggers when a new message is sent.
Do thisActions
Action is the task that follows automatically within your SerwerSMS integrations.
Add Phone Number to Blacklist
Add a phone number to the blacklist to prevent it from receiving SMS.
Add Contact
Add a new contact.
Send SMS
Send message SMS.
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 SerwerSMS and Pinecone accounts to viaSocket. Once connected, you can set up a workflow where an event in SerwerSMS triggers actions in Pinecone (or vice versa).
Absolutely. You can customize how SerwerSMS 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 SerwerSMS 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 SerwerSMS 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 SerwerSMS
SerwerSMS is a comprehensive platform for managing SMS communication, offering tools for sending bulk messages, notifications, and marketing campaigns. It is designed to enhance customer engagement and streamline communication processes.
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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