
When this happens...

Automatically do this!
Create an index
Generate vectors
Delete an Index
Fetch Index by Name
Enable Integrations or automations with these events of Leadrat and Pinecone
Create a new lead in Leadrat including contact, property, schedule, and team details.
Get All Leads from LeadRAT
Create an index for vectors created with an external embedding model.
Generate vector embeddings for input data.
Removes a specified index by its ID or name.
Returns details and structure of a specified index.
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Leadrat and Pinecone accounts to viaSocket. Once connected, you can set up a workflow where an event in Leadrat triggers actions in Pinecone (or vice versa).
Absolutely. You can customize how Leadrat 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 Leadrat 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 Leadrat 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.
Leadrat is a cutting-edge platform designed to enhance lead management and conversion strategies. It offers tools to streamline the process of capturing, tracking, and nurturing leads, ensuring businesses can maximize their sales potential.
Learn MorePinecone 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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