List the documents in the corpus

GET 
/v2/corpora/:corpus_key/documents

Retrieve a list of documents stored in a specifi corpus. This endpoint provides an overview of document metadata without returning the full content of each document.

Request

Path Parameters

corpus_key CorpusKeyrequired

Possible values: <= 50 characters, Value must match regular expression [a-zA-Z0-9_\=\-]+$

The unique key identifying the queried corpus.

Query Parameters

limit int32

Possible values: >= 1 and <= 100

Default value: 10

The maximum number of documents to return at one time.

metadata_filter string

Filter documents by metadata. Uses the same expression as a query metadata filter, but only allows filtering on document metadata.

page_key string

Used to retrieve the next page of documents after the limit has been reached.

Header Parameters

Request-Timeout integer

Possible values: >= 1

The API will make a best effort to complete the request in the specified seconds or time out.

Request-Timeout-Millis integer

Possible values: >= 1

The API will make a best effort to complete the request in the specified milliseconds or time out.

Responses

200

List of documents.

application/json

Schema

Schema

documents object[]
List of documents.
Array [
id string
The document ID.
metadata object
The document metadata.
property name* any
The document metadata.
parts object[]
Parts of the document that make up the document. However, parts are not available when retrieving a list of documents or when creating a document. This property is only available when retrieving a document by ID.
Array [
text stringrequired
The text of the document part.
metadata object
The metadata for a document part. These may be used in metadata filters at query time if filter attributes are configured on the corpus.
property name* any
The metadata for a document part. These may be used in metadata filters at query time if filter attributes are configured on the corpus.
context string
The context text for the document part.
custom_dimensions object
The custom dimensions as additional weights.
property name* double
]
storage_usage object
How much storage the document used. This information is currently not returned when retrieving the document, and only returned when indexing a document.
bytes_used int64
Number of bytes used by document counting towards maximum corpus size, and towards any billing plans.
metadata_bytes_used int64
Number of metadata bytes used by a document.
]
metadata object

The standard metadata in the response of a list operation.

page_key string

When requesting the next page of this list, this is needed as a query parameter.

Example (from schema)

{
  "documents": [
    {
      "id": "my-doc-id",
      "metadata": {},
      "parts": [
        {
          "text": "I'm a nice document part.",
          "metadata": {
            "nice_rank": 9000
          },
          "context": "string",
          "custom_dimensions": {}
        }
      ],
      "storage_usage": {
        "bytes_used": 0,
        "metadata_bytes_used": 0
      }
    }
  ],
  "metadata": {
    "page_key": "string"
  }
}

403

Permissions do not allow listing documents in the corpus.

application/json

Schema

Schema

messages message[]

The messages describing why the error occurred.

request_id string

The ID of the request that can be used to help Vectara support debug what went wrong.

Example (from schema)

{
  "messages": [
    "Internal server error."
  ],
  "request_id": "string"
}

404

Corpus not found.

application/json

Schema

Schema

id string

The ID cannot be found.

messages message[]
request_id string

ID of the request that can be used to help Vectara support debug what went wrong.

Example (from schema)

{
  "id": "string",
  "messages": [
    "string"
  ],
  "request_id": "string"
}

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