# 獲取向量儲存的信息

{% openapi src="/files/WF90zszaISusKGEBimez" path="/vector-stores/me" 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/vector-stores/me \
  -H "x-api-key: YOUR_API_KEY"
```

{% hint style="info" %}
將 `YOUR_API_KEY` 替換為您的實際向量存儲 API 金鑰。
{% endhint %}
{% endtab %}

{% tab title="JavaScript" %}

```javascript
const getVectorStoreInfo = async () => {
  const response = await fetch('https://api.rememberizer.ai/api/v1/vector-stores/me', {
    method: 'GET',
    headers: {
      'x-api-key': 'YOUR_API_KEY'
    }
  });
  
  const data = await response.json();
  console.log(data);
};

getVectorStoreInfo();
```

{% hint style="info" %}
將 `YOUR_API_KEY` 替換為您的實際向量存儲 API 金鑰。
{% endhint %}
{% endtab %}

{% tab title="Python" %}

```python
import requests

def get_vector_store_info():
    headers = {
        "x-api-key": "YOUR_API_KEY"
    }
    
    response = requests.get(
        "https://api.rememberizer.ai/api/v1/vector-stores/me",
        headers=headers
    )
    
    data = response.json()
    print(data)

get_vector_store_info()
```

{% hint style="info" %}
將 `YOUR_API_KEY` 替換為您的實際向量存儲 API 金鑰。
{% endhint %}
{% endtab %}
{% endtabs %}

## 回應格式

```json
{
  "id": "vs_abc123",
  "name": "我的向量儲存",
  "description": "產品文檔的向量儲存",
  "embedding_model": "sentence-transformers/all-mpnet-base-v2",
  "indexing_algorithm": "ivfflat",
  "vector_dimension": 128,
  "search_metric": "cosine_distance",
  "created": "2023-06-01T10:30:00Z",
  "modified": "2023-06-15T14:45:00Z"
}
```

## 認證

此端點需要使用 `x-api-key` 標頭中的 API 金鑰進行認證。

## 錯誤回應

| 狀態碼 | 描述                  |
| --- | ------------------- |
| 401 | 未授權 - 無效或缺失的 API 金鑰 |
| 404 | 找不到 - 向量儲存未找到       |
| 500 | 內部伺服器錯誤             |

此端點檢索與提供的 API 金鑰相關的向量儲存資訊。它對於檢查配置細節非常有用，包括使用的嵌入模型、維度和搜索指標。這些資訊對於優化搜索查詢和理解向量儲存的能力非常有價值。


---

# 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/vector-store/get-vector-stores-information.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.