> 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/developer-resources/api-docs/vector-store/update-files-content-in-a-vector-store.md).

# Update file's content in a Vector Store

{% openapi src="/files/7T1Jx6BU3fZ2U5LsImW1" path="/vector-stores/{vector-store-id}/documents/{document-id}/" method="patch" %}
[rememberizer\_openapi.yml](https://2952947711-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FyNqpTh7Mh66N0RnO0k24%2Fuploads%2Fgit-blob-77b6137eeb641262ec8e531c78123c02b825b865%2Frememberizer_openapi.yml?alt=media\&token=cbad765b-1613-4222-b591-9ae17a3b7cfa)
{% endopenapi %}

## Example Requests

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

```bash
curl -X PATCH \
  https://api.rememberizer.ai/api/v1/vector-stores/vs_abc123/documents/1234/ \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "Updated Product Overview"
  }'
```

{% hint style="info" %}
Replace `YOUR_API_KEY` with your actual Vector Store API key, `vs_abc123` with your Vector Store ID, and `1234` with the document ID.
{% endhint %}
{% endtab %}

{% tab title="JavaScript" %}

```javascript
const updateDocument = async (vectorStoreId, documentId, newName) => {
  const response = await fetch(`https://api.rememberizer.ai/api/v1/vector-stores/${vectorStoreId}/documents/${documentId}/`, {
    method: 'PATCH',
    headers: {
      'x-api-key': 'YOUR_API_KEY',
      'Content-Type': 'application/json'
    },
    body: JSON.stringify({
      name: newName
    })
  });
  
  const data = await response.json();
  console.log(data);
};

updateDocument('vs_abc123', 1234, 'Updated Product Overview');
```

{% hint style="info" %}
Replace `YOUR_API_KEY` with your actual Vector Store API key, `vs_abc123` with your Vector Store ID, and `1234` with the document ID.
{% endhint %}
{% endtab %}

{% tab title="Python" %}

```python
import requests
import json

def update_document(vector_store_id, document_id, new_name):
    headers = {
        "x-api-key": "YOUR_API_KEY",
        "Content-Type": "application/json"
    }
    
    payload = {
        "name": new_name
    }
    
    response = requests.patch(
        f"https://api.rememberizer.ai/api/v1/vector-stores/{vector_store_id}/documents/{document_id}/",
        headers=headers,
        data=json.dumps(payload)
    )
    
    data = response.json()
    print(data)

update_document('vs_abc123', 1234, 'Updated Product Overview')
```

{% hint style="info" %}
Replace `YOUR_API_KEY` with your actual Vector Store API key, `vs_abc123` with your Vector Store ID, and `1234` with the document ID.
{% endhint %}
{% endtab %}
{% endtabs %}

## Path Parameters

| Parameter       | Type    | Description                                                       |
| --------------- | ------- | ----------------------------------------------------------------- |
| vector-store-id | string  | **Required.** The ID of the vector store containing the document. |
| document-id     | integer | **Required.** The ID of the document to update.                   |

## Request Body

```json
{
  "name": "Updated Product Overview"
}
```

| Parameter | Type   | Description                    |
| --------- | ------ | ------------------------------ |
| name      | string | The new name for the document. |

## Response Format

```json
{
  "id": 1234,
  "name": "Updated Product Overview",
  "type": "text/plain",
  "vector_store": "vs_abc123",
  "size": 173,
  "status": "indexed",
  "processing_status": "completed",
  "indexed_on": "2023-06-15T10:30:00Z",
  "status_error_message": null,
  "created": "2023-06-15T10:15:00Z",
  "modified": "2023-06-15T11:45:00Z"
}
```

## Authentication

This endpoint requires authentication using an API key in the `x-api-key` header.

## Error Responses

| Status Code | Description                                    |
| ----------- | ---------------------------------------------- |
| 400         | Bad Request - Invalid request format           |
| 401         | Unauthorized - Invalid or missing API key      |
| 404         | Not Found - Vector Store or document not found |
| 500         | Internal Server Error                          |

This endpoint allows you to update the metadata of a document in your vector store. Currently, you can only update the document's name. This is useful for improving document organization and discoverability without needing to re-upload the document.

{% hint style="info" %}
Note: This endpoint only updates the document's metadata, not its content. To update the content, you need to delete the existing document and upload a new one.
{% endhint %}


---

# 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/developer-resources/api-docs/vector-store/update-files-content-in-a-vector-store.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.