# 檢索文件

{% openapi src="/files/WF90zszaISusKGEBimez" path="/documents/" method="get" %}
[rememberizer\_openapi.yml](https://2492455604-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FTVKmtXKPeA8gAZJsuGLA%2Fuploads%2Fgit-blob-77b6137eeb641262ec8e531c78123c02b825b865%2Frememberizer_openapi.yml?alt=media\&token=3b4a9db2-4dd7-440f-b670-9555703d351d)
{% endopenapi %}

## 範例請求

{% tabs %}
{% tab title="cURL" %}

```bash
curl -X GET \
  "https://api.rememberizer.ai/api/v1/documents/?page=1&page_size=20&integration_type=google_drive" \
  -H "Authorization: Bearer YOUR_JWT_TOKEN"
```

{% hint style="info" %}
將 `YOUR_JWT_TOKEN` 替換為您的實際 JWT 令牌。
{% endhint %}
{% endtab %}

{% tab title="JavaScript" %}

```javascript
const getDocuments = async (page = 1, pageSize = 20, integrationType = 'google_drive') => {
  const url = new URL('https://api.rememberizer.ai/api/v1/documents/');
  url.searchParams.append('page', page);
  url.searchParams.append('page_size', pageSize);
  if (integrationType) {
    url.searchParams.append('integration_type', integrationType);
  }
  
  const response = await fetch(url.toString(), {
    method: 'GET',
    headers: {
      'Authorization': 'Bearer YOUR_JWT_TOKEN'
    }
  });
  
  const data = await response.json();
  console.log(data);
};

getDocuments();
```

{% hint style="info" %}
將 `YOUR_JWT_TOKEN` 替換為您的實際 JWT 令牌。
{% endhint %}
{% endtab %}

{% tab title="Python" %}

```python
import requests

def get_documents(page=1, page_size=20, integration_type=None):
    headers = {
        "Authorization": "Bearer YOUR_JWT_TOKEN"
    }
    
    params = {
        "page": page,
        "page_size": page_size
    }
    
    if integration_type:
        params["integration_type"] = integration_type
    
    response = requests.get(
        "https://api.rememberizer.ai/api/v1/documents/",
        headers=headers,
        params=params
    )
    
    data = response.json()
    print(data)

get_documents(integration_type="google_drive")
```

{% hint style="info" %}
將 `YOUR_JWT_TOKEN` 替換為您的實際 JWT 令牌。
{% endhint %}
{% endtab %}
{% endtabs %}

## 請求參數

| 參數                | 類型 | 描述                                                                   |
| ----------------- | -- | -------------------------------------------------------------------- |
| page              | 整數 | 分頁的頁碼。默認為 1。                                                         |
| page\_size        | 整數 | 每頁的項目數。默認為 10。                                                       |
| integration\_type | 字串 | 按整合類型過濾文件。選項：google\_drive, slack, dropbox, gmail, common\_knowledge |

## 回應格式

```json
{
  "count": 257,
  "next": "https://api.rememberizer.ai/api/v1/documents/?page=2&page_size=20&integration_type=google_drive",
  "previous": null,
  "results": [
    {
      "document_id": "1aBcD2efGhIjK3lMnOpQrStUvWxYz",
      "name": "專案提案.docx",
      "type": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
      "path": "/Documents/Projects/Proposal.docx",
      "url": "https://drive.google.com/file/d/1aBcD2efGhIjK3lMnOpQrStUvWxYz/view",
      "id": 12345,
      "integration_type": "google_drive",
      "source": "user@example.com",
      "status": "已編入索引",
      "indexed_on": "2023-06-15T10:30:00Z",
      "size": 250000
    },
    // ... 更多文件
  ]
}
```

## 可用的整合類型

| 整合類型              | 描述                  |
| ----------------- | ------------------- |
| google\_drive     | 來自 Google Drive 的文件 |
| slack             | 來自 Slack 的消息和文件     |
| dropbox           | 來自 Dropbox 的文件      |
| gmail             | 來自 Gmail 的電子郵件      |
| common\_knowledge | 公共知識來源              |

此端點從您連接的數據來源檢索文件列表。您可以按整合類型進行過濾，以專注於特定來源。


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.rememberizer.ai/zh-hk/kai-fa-zhe-zi-yuan/api-docs/retrieve-documents.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.