Tool to create a Pinecone index with specified configuration. Use when you need to initialize a new vector database index for storing and querying embeddings.
nameRequiredstringIndex identifier (1-45 chars, lowercase alphanumeric or hyphens, must start/end with alphanumeric).
specRequiredobjectDeployment configuration. Must provide either serverless or pod specification.
metricRequiredstringSimilarity measure. Must be 'dotproduct' for sparse vectors.
dimensionintegerVector dimensions (1-20,000). Required for dense vectors; omit for sparse vectors.
vector_typestringVector type: 'dense' (default) or 'sparse'.
deletion_protectionstringSet to 'enabled' to prevent accidental deletion.
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.