Connect Adafruit IO and Pinecone to Build Intelligent Automations
Ready to use Adafruit IO and Pinecone automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Feed Data
Check if a new data is created in a feed.
New Feed
Check if a new feed is created.
New Group
Check if a new group is created.
Do thisActions
Action is the task that follows automatically within your Adafruit IO integrations.
Create a Group
Creates a new group.
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 Adafruit IO and Pinecone accounts to viaSocket. Once connected, you can set up a workflow where an event in Adafruit IO triggers actions in Pinecone (or vice versa).
Absolutely. You can customize how Adafruit IO 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 Adafruit IO 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 Adafruit IO 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 Adafruit IO
Adafruit IO is a platform for logging, streaming, and interacting with data.
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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