Aident Loadout के माध्यम से Pinecone Tools के साथ Pinecone Create Index For Model का उपयोग करें। चलाने से पहले इनपुट, आउटपुट, सेटअप, मूल्य और जोखिम देखें।
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.
nameआवश्यकstringIndex 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.
cloudआवश्यकstringCloud provider for hosting the index.
embedआवश्यकobjectEmbedding model configuration for automatic vectorization.
regionआवश्यकstringDeployment 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.
dataआवश्यकData from the action execution
errorstringError if any occurred during the execution of the action
successfulआवश्यकbooleanWhether or not the action execution was successful or not
API कुंजी कनेक्शन। जोखिम स्तर 2/5।
मुफ़्त Action
अभी कोई प्रकाशित Skills इस Action को स्पष्ट रूप से संदर्भित नहीं करती है।