檢索文件

get

Use this operation to retrieve metadata about all available documents and Slack channels within the data sources.

Query parameters

pageintegeroptional

Page's index

page_sizeintegeroptional

The maximum number of documents returned in a page

Responses

application/json

cURL

JavaScript

Python

HTTP

cURL

curl -L \
  --url 'https://api.rememberizer.ai/api/v1/documents/'

200

200

{
  "count": 4,
  "next": "text",
  "previous": "text",
  "results": [
    {
      "name": "text",
      "type": "text",
      "path": "text",
      "url": "text",
      "id": "text",
      "integration_type": "text",
      "source": "text",
      "status": "text",
      "indexed_on": "2025-04-01T11:59:40.240Z",
      "size": 89,
      "status_error_message": "text",
      "document_id": "text",
      "created_time": "2025-04-01T11:59:40.240Z",
      "pk": 1
    }
  ]
}

Successful operation