
When this happens...
New Survey Created
New Survey Response Arrives

Automatically do this!
Create an index
Generate vectors
Delete an Index
Fetch Index by Name
When this happensTriggers
A trigger is an event that starts a workflow.
Triggers when a new survey is created and activated in the project.
Triggers when a new completed response is submitted for a selected survey.
Action is the task that follows automatically within your Survser integrations.
List all active surveys in the project along with their questions and answer options.
Retrieve all completed responses for a selected survey including answers, respondent info, and submission details.
Retrieve the project details associated with your Survser API key, including project name and domain.
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.
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To start, connect both your Survser and Pinecone accounts to viaSocket. Once connected, you can set up a workflow where an event in Survser triggers actions in Pinecone (or vice versa).
Absolutely. You can customize how Survser 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 Survser 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 Survser 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.
Survser is a user and product research tool that allows its users to create and deploy microsurveys within their digital products.
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.
Learn More