# Upload file to store

Upload a file directly to a knowledge store for processing and embedding.

Uploads a file to the specified store using multipart form data. Files up to ~31 MB can be uploaded directly. For larger files, use the [chunked upload flow](/docs/api-reference/knowledge/upload-url). The file is validated, stored, and automatically queued for processing (chunking and embedding).

#### Path Parameters

**`organization_id`** string required

The unique identifier of the organization (format: `org_*`).

**`store_id`** string required

The unique identifier of the vector store.

#### Request Body (multipart/form-data)

**`file`** file required

The file to upload. See [File config](/docs/api-reference/knowledge/file-config) for supported types and size limits.

**`relative_path`** string optional

A relative path within the store, useful for preserving folder structure in bulk uploads.

## Returns

The uploaded file object with processing status set to `pending` (HTTP 201).

Request

```bash cURL
curl -X POST "https://api.aitronos.com/v1/organizations/org_xyz789/stores/vs_abc123/files/upload" \
  -H "Authorization: Bearer $ACCESS_TOKEN" \
  -F "file=@document.pdf" \
  -F "relative_path=reports/2025"
```


```python Python SDK
from aitronos import Aitronos

client = Aitronos(api_key="your-api-key")

result = client.knowledge.upload_file(
    organization_id="org_xyz789",
    store_id="vs_abc123",
    file=open("document.pdf", "rb"),
    relative_path="reports/2025",
)
print(result)
```


```python Python
import requests

org_id = "org_xyz789"
store_id = "vs_abc123"
url = f"https://api.aitronos.com/v1/organizations/{org_id}/stores/{store_id}/files/upload"
headers = {
    "Authorization": "Bearer YOUR_ACCESS_TOKEN",
}

with open("document.pdf", "rb") as f:
    files = {"file": ("document.pdf", f, "application/pdf")}
    data = {"relative_path": "reports/2025"}
    response = requests.post(url, headers=headers, files=files, data=data)

print(response.json())
```


```javascript JavaScript
const orgId = "org_xyz789";
const storeId = "vs_abc123";

const formData = new FormData();
formData.append("file", fileInput.files[0]);
formData.append("relative_path", "reports/2025");

const response = await fetch(
  `https://api.aitronos.com/v1/organizations/${orgId}/stores/${storeId}/files/upload`,
  {
    method: "POST",
    headers: {
      Authorization: `Bearer ${accessToken}`,
    },
    body: formData,
  }
);

const data = await response.json();
console.log(data);
```

Response

```json 201 Created
{
  "file_id": "file_abc123def456",
  "name": "document.pdf",
  "size": 1048576,
  "mime_type": "application/pdf",
  "relative_path": "reports/2025",
  "status": "pending",
  "created_at": "2025-06-15T10:00:00Z"
}
```


```json 404 Error
{
  "success": false,
  "error": {
    "code": "VECTOR_STORE_NOT_FOUND",
    "message": "We couldn't find the requested resource.",
    "system_message": "Vector store not found",
    "type": "client_error",
    "status": 404,
    "details": { "store_id": "vs_abc123", "organization_id": "org_xyz789" },
    "trace_id": "abc-123-def",
    "timestamp": "2025-06-15T10:00:00Z"
  }
}
```

## Related Resources

- [Get Upload URL](/docs/api-reference/knowledge/upload-url)
- [Register Upload](/docs/api-reference/knowledge/register-upload)
- [List Files](/docs/api-reference/knowledge/list-files)
- [Get File](/docs/api-reference/knowledge/get-file)
- [Delete File](/docs/api-reference/knowledge/delete-file)
- [Bulk Remove Files](/docs/api-reference/knowledge/bulk-remove)
- [Processing Status](/docs/api-reference/knowledge/processing-status)
- [Processing Logs](/docs/api-reference/knowledge/processing-logs)
- [Retry Processing](/docs/api-reference/knowledge/retry-processing)
- [File Config](/docs/api-reference/knowledge/file-config)
- [Storage Usage](/docs/api-reference/knowledge/storage-usage)