Actions16
- Index Actions
- Vector Actions
- Metadata Actions
- Utility Actions
Utility → Describe
AI-generatedOverview
This node integrates with Cloudflare Vectorize, a vector database service designed for semantic search and retrieval-augmented generation (RAG) applications. It allows users to perform various operations on vector indexes, vectors, metadata indexes, and utility functions for administration and debugging.
Specifically, the Utility - Describe operation retrieves detailed configuration and schema information about a specified vector index. This is useful for administrators or developers who want to inspect the structure, settings, and metadata of an existing vector index to understand its setup or troubleshoot issues.
Practical examples:
- Inspecting an index’s dimension size, distance metric, and description before inserting vectors.
- Verifying index schema details during development of AI-powered semantic search workflows.
- Debugging or auditing vector indexes in production environments.
Properties
| Name | Meaning |
|---|---|
| Index Name | The name of the Vectorize index to describe. Must be lowercase, containing only letters, numbers, and hyphens. |
Output
The output JSON contains detailed information about the specified vector index's configuration and schema. This typically includes properties such as:
- Index name
- Dimensions (number of vector dimensions)
- Distance metric used (e.g., cosine, euclidean, dot product)
- Description (optional textual description)
- Other metadata related to the index setup
The exact structure depends on the Cloudflare Vectorize API response but generally provides comprehensive details needed to understand the index’s design.
No binary data is output by this operation.
Example output snippet (conceptual):
{
"index": {
"name": "example-index",
"dimensions": 1536,
"metric": "cosine",
"description": "Index for semantic search embeddings",
...
}
}
Dependencies
- Requires an active connection to Cloudflare Vectorize via an API key credential configured in n8n.
- The node uses internal utility functions to communicate with the Cloudflare Vectorize API.
- No additional external dependencies beyond the configured API authentication.
Troubleshooting
Common issues:
- Providing an invalid or non-existent index name will result in errors indicating the index could not be found.
- Using uppercase letters or invalid characters in the index name may cause validation errors.
- Network or authentication failures if the API key is missing, expired, or incorrect.
Error messages:
"Unknown utility operation: describe"— indicates the operation parameter was set incorrectly; ensure it is exactly "describe".- Errors from the Cloudflare API about index not found or permission denied usually mean the index name is wrong or credentials lack access.
Resolutions:
- Double-check the index name format and existence in your Cloudflare Vectorize account.
- Verify that the API key credential is correctly configured and has necessary permissions.
- Ensure network connectivity to Cloudflare services.