Tool to create a Pinecone index with integrated embedding model for automatic vectorization. Use when you need to set up a new index that automatically converts text to vectors using a pre-configured embedding model.
nameRequiredstringIndex identifier. Must be 1-45 characters, alphanumeric and hyphens only, must start and end with alphanumeric character.
tagsobjectCustom metadata labels. Keys max 80 characters, values max 120 characters.
cloudRequiredstringCloud provider for hosting the index.
embedRequiredobjectEmbedding model configuration for automatic vectorization.
regionRequiredstringDeployment region. Must be valid for the chosen cloud provider (e.g., 'us-east-1' for AWS).
deletion_protectionstringProtection against accidental deletion. Defaults to 'disabled' if not specified.
dataRequiredData from the action execution
errorstringError if any occurred during the execution of the action
successfulRequiredbooleanWhether or not the action execution was successful or not
API key connection. Risk level 2 of 5.
Free Action
No published Skills explicitly reference this Action yet.