Connect Webex and Pinecone to Build Intelligent Automations
Enable Integrations or automations with these events of Webex and Pinecone
Enable Integrations or automations with these events of Webex and Pinecone
Actions
Create Contact List
Creates a new contact list in Webex Interact.
List Senders
Show the list of senders available in Webex Interact.
Delete List
Deletes a contact list from Webex Interact.
Create Shortlink
Creates a shortlink that redirects to a web page and can track clicks and add tags.
Create an index
Create an index for vectors created with an external embedding model.
Generate vectors
Generate vector embeddings for input data.
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Frequently Asked Questions
To start, connect both your Webex and Pinecone accounts to viaSocket. Once connected, you can set up a workflow where an event in Webex triggers actions in Pinecone (or vice versa).
Absolutely. You can customize how Webex 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 Webex 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 Webex 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 Webex
Multi-channel messaging platform for businesses that supports SMS and WhatsApp campaigns, templates, two-way messaging and real-time reporting. Provides developer-friendly REST APIs, shortlinks, scheduling and campaign automation for transactional and marketing communication.
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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