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Overview

This node operation "Returns All Chunks for a Specific Document" retrieves all the text chunks associated with a particular document within a specified collection. It is useful when you want to access or analyze the segmented parts (chunks) of a document, which might be used for detailed processing, semantic search, or content extraction.

Typical use cases include:

  • Extracting all textual segments of a document for further analysis or processing.
  • Retrieving document chunks to perform custom searches or apply machine learning models on smaller pieces of the document.
  • Integrating with systems that require chunk-level data rather than whole documents.

For example, if you have a large document stored in a collection and want to process or display its content piecewise, this operation allows you to fetch all those chunks efficiently.

Properties

Name Meaning
Document ID The unique identifier of the document whose chunks you want to retrieve.
Collection ID The unique identifier of the collection that contains the document.

Output

The output JSON field contains an array of chunks related to the specified document. Each chunk represents a segment or portion of the document's content. The structure typically includes chunk identifiers and their corresponding text or metadata.

If the node supports binary data output (not explicitly shown here), it would represent the binary form of document chunks or related files, but this operation primarily returns JSON data representing text chunks.

Dependencies

  • Requires an API key credential for authentication to the external service hosting the collections and documents.
  • The base URL for API requests is configured from the credential's URL.
  • The node sends HTTP GET requests to the endpoint /documents/{document_id}/chunks with the collection_id as a query parameter.

Troubleshooting

  • Missing or invalid Document ID or Collection ID: Ensure both IDs are provided and valid; otherwise, the API will return errors indicating missing or not found resources.
  • Authentication errors: Verify that the API key credential is correctly set up and has permissions to access the specified collection and document.
  • Network or timeout issues: If the request times out or fails due to network problems, check connectivity and consider increasing timeout settings if available.
  • Empty results: If no chunks are returned, confirm that the document exists in the specified collection and that it has been processed into chunks.

Links and References

  • Refer to the API documentation of the external service for details on the /documents/{document_id}/chunks endpoint.
  • Consult the n8n documentation on how to configure API key credentials and HTTP request nodes for integration.

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