Actions14
Overview
The node interacts with the Ragdoll AI API to manage documents within a knowledge base system. Specifically, the "Get" operation for the "Document" resource retrieves detailed information about a single document by its unique ID. This is useful when you need to fetch the content, metadata, or other details of a specific document stored in the Ragdoll AI platform.
Common scenarios include:
- Retrieving a document's content for display or further processing.
- Verifying document existence or status before performing updates or deletions.
- Integrating document data into workflows that require contextual information from stored documents.
Example: You have a document ID and want to pull its full details to analyze or present it in your application.
Properties
| Name | Meaning |
|---|---|
| Document ID | The unique identifier of the document to retrieve. This is required to specify which document to get from the Ragdoll AI system. |
Output
The output JSON contains the full details of the requested document as returned by the Ragdoll AI API. This typically includes fields such as the document's content, metadata, creation date, and any other attributes defined by the API.
If the node supports binary data output (not indicated explicitly here), it would represent the document's content or attachments in binary form, but this node primarily returns JSON data representing the document.
Dependencies
- Requires an active connection to the Ragdoll AI API.
- Needs an API authentication token or key configured in n8n credentials to authorize requests.
- The base URL for the API is taken from the configured credentials.
- No additional external dependencies are indicated.
Troubleshooting
- Missing or invalid Document ID: The node requires a valid document ID; ensure this property is set correctly.
- Authentication errors: If the API key or token is missing or incorrect, the request will fail. Verify credential configuration.
- Document not found: If the specified document ID does not exist, the API will return an error indicating the document was not found.
- Network issues: Connectivity problems can cause request failures; check network access to the API endpoint.
- API rate limits: Excessive requests may be throttled; monitor usage and apply backoff if needed.
Links and References
- Ragdoll AI API Documentation (hypothetical link, replace with actual)
- n8n documentation on HTTP Request Node for understanding API calls
- General guidance on API Authentication in n8n