> For the complete documentation index, see [llms.txt](https://docs.rememberizer.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.rememberizer.ai/ja/rissu/api-docs/retrieve-documents.md).

# 文書を取得

{% openapi src="/files/NPsg8DFwcSjopKSuZo9m" path="/documents/" method="get" %}
[rememberizer\_openapi.yml](https://3282965451-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FK09NlRK7lXZsjqCNQsEe%2Fuploads%2Fgit-blob-77b6137eeb641262ec8e531c78123c02b825b865%2Frememberizer_openapi.yml?alt=media\&token=dd73efa7-56a8-4350-88ab-85d7586fb7b8)
{% endopenapi %}

## 例のリクエスト

{% 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" %}
`YOUR_JWT_TOKEN` を実際のJWTトークンに置き換えてください。
{% 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" %}
`YOUR_JWT_TOKEN` を実際のJWTトークンに置き換えてください。
{% 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" %}
`YOUR_JWT_TOKEN` を実際のJWTトークンに置き換えてください。
{% endhint %}
{% endtab %}
{% endtabs %}

## リクエストパラメータ

| パラメータ             | タイプ | 説明                                                                                     |
| ----------------- | --- | -------------------------------------------------------------------------------------- |
| page              | 整数  | ページネーションのためのページ番号。デフォルトは1です。                                                           |
| page\_size        | 整数  | 1ページあたりのアイテム数。デフォルトは10です。                                                              |
| integration\_type | 文字列 | 統合タイプでドキュメントをフィルタリングします。オプション: google\_drive, slack, dropbox, gmail, common\_knowledge |

## レスポンス形式

```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": "プロジェクト提案書.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": "indexed",
      "indexed_on": "2023-06-15T10:30:00Z",
      "size": 250000
    },
    // ... さらに多くのドキュメント
  ]
}
```

## 利用可能な統合タイプ

| 統合タイプ             | 説明                 |
| ----------------- | ------------------ |
| google\_drive     | Google Driveからの文書  |
| slack             | Slackからのメッセージとファイル |
| dropbox           | Dropboxからのファイル     |
| gmail             | Gmailからのメール        |
| common\_knowledge | 公共の知識源             |

このエンドポイントは、接続されたデータソースから文書のリストを取得します。特定のソースに焦点を当てるために、統合タイプでフィルタリングできます。


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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, and the optional `goal` query parameter:

```
GET https://docs.rememberizer.ai/ja/rissu/api-docs/retrieve-documents.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.