IIMAGINE: Knowledge Base Update icon

IIMAGINE: Knowledge Base Update

Update a Knowledge Base via IIMAGINE API and optionally trigger reprocessing

IIMAGINE: Knowledge Base Update

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Overview

This node updates a knowledge base via the IIMAGINE API. It allows users to either append new content to an existing knowledge base or replace the existing content entirely. Additionally, it can trigger reprocessing of the knowledge base, which involves chunking and embedding the updated content. This node is useful for maintaining and dynamically updating knowledge bases in automation workflows, such as adding new information or refreshing the entire content for AI or search applications.

Use Case Examples

  1. Appending new information to an existing knowledge base to keep it current.
  2. Replacing outdated content in a knowledge base with updated text.
  3. Triggering reprocessing to ensure the knowledge base content is properly indexed after updates.

Properties

Name Meaning
Knowledge Base ID The unique identifier of the knowledge base to update.
Content The text content to write into the knowledge base, either appended or replacing existing content.
Update Mode Determines whether to append the new content to the existing knowledge base or replace it entirely.
Trigger Reprocessing Whether to trigger chunking and embedding of the knowledge base content after the update to refresh its processing state.

Output

JSON

  • json - The response from the IIMAGINE API after updating the knowledge base, containing details about the update operation.

Dependencies

  • IIMAGINE API key credential for authentication

Troubleshooting

  • Ensure the provided Knowledge Base ID is correct and exists in the IIMAGINE system to avoid update failures.
  • Verify that the API key credential is valid and has the necessary permissions to update the knowledge base.
  • If the update fails, check the network connectivity and the base URL configuration for the IIMAGINE API.
  • If reprocessing is triggered but the content does not appear updated, confirm that the chunking and embedding processes completed successfully on the server side.

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