Actions14
Overview
The "Get Many" operation for the Document resource in this node allows users to retrieve multiple documents from the Ragdoll AI API. This operation is useful when you want to list or fetch a collection of documents, optionally filtered by certain criteria such as the knowledge base they belong to.
Common scenarios include:
- Fetching all documents associated with a specific knowledge base to display or process them further.
- Retrieving documents in bulk for analysis, reporting, or migration purposes.
- Integrating document listings into workflows that require batch processing or conditional logic based on document metadata.
For example, you might use this operation to get all documents linked to a particular knowledge base ID and then iterate over them to extract content or update metadata.
Properties
| Name | Meaning |
|---|---|
| Filters | Collection of filters to narrow down the documents returned. Currently supports: - Knowledge Base ID: Filter documents by the ID of the knowledge base they belong to. |
Output
The output of this operation is a JSON array containing multiple document objects retrieved from the API. Each document object typically includes fields such as its unique identifier, content, metadata, and association to a knowledge base.
If the node supports binary data output (not indicated here), it would represent document contents or attachments in binary form, but this operation primarily returns JSON data representing document records.
Dependencies
- Requires an API key credential for authenticating requests to the Ragdoll AI API.
- The node must be configured with the base URL of the Ragdoll AI service.
- No additional external dependencies are indicated.
Troubleshooting
- Empty results: If no documents are returned, verify that the provided Knowledge Base ID filter is correct and that documents exist under that knowledge base.
- Authentication errors: Ensure the API key credential is valid and has sufficient permissions to access documents.
- Invalid filter format: Make sure the filter values, especially the Knowledge Base ID, are correctly formatted strings.
- API connectivity issues: Check network connectivity and the correctness of the base URL configuration.
Links and References
- Ragdoll AI API Documentation (hypothetical link for reference)
- n8n documentation on HTTP Request Node for understanding API interactions