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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Team
Triggered when a new room is created.
New Posts
Fetch posts created in a selected team (workroom), forum, or user stream since the specified time.
Do thisActions
Action is the task that follows automatically within your Ryver integrations.
Send Chat Message
Send a message to a team (workroom), forum, or user in Ryver.
Create Team
Create a new Ryver team (workroom) with name, nickname, description, security setting, avatar and active status.
Upload File
Attach a file (URL or text) as a post to a Team (workroom), Forum, or User in Ryver.
Create Post
Create a post in Ryver to a forum, team (workroom), or user feed with an optional subject and body.
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 Ryver and Pinecone accounts to viaSocket. Once connected, you can set up a workflow where an event in Ryver triggers actions in Pinecone (or vice versa).
Absolutely. You can customize how Ryver 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 Ryver 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 Ryver 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 Ryver
Ryver organizes all your collaboration in one app with team chat, task management, and voice and video calls.
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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