获取向量存储中的文档列表
get
List all documents in a vector store.
Path parameters
vector-store-idstringRequired
The ID of the vector store.
Header parameters
x-api-keystringRequired
The API key for authentication.
Responses
200
A list of documents.
application/json
get
GET /api/v1/vector-stores/{vector-store-id}/documents HTTP/1.1
Host: api.rememberizer.ai
x-api-key: text
Accept: */*
200
A list of documents.
[
{
"id": 1,
"name": "text",
"type": "text",
"vector_store": "text",
"size": 1,
"status": "text",
"processing_status": "text",
"indexed_on": "2025-07-03T11:57:46.687Z",
"status_error_message": "text",
"created": "2025-07-03T11:57:46.687Z",
"modified": "2025-07-03T11:57:46.687Z"
}
]
示例请求
curl -X GET \
https://api.rememberizer.ai/api/v1/vector-stores/vs_abc123/documents \
-H "x-api-key: YOUR_API_KEY"
路径参数
参数
类型
描述
vector-store-id
字符串
必需。 要列出文档的向量存储的 ID。
响应格式
[
{
"id": 1234,
"name": "产品手册.pdf",
"type": "application/pdf",
"vector_store": "vs_abc123",
"size": 250000,
"status": "已索引",
"processing_status": "已完成",
"indexed_on": "2023-06-15T10:30:00Z",
"status_error_message": null,
"created": "2023-06-15T10:15:00Z",
"modified": "2023-06-15T10:30:00Z"
},
{
"id": 1235,
"name": "技术规格.docx",
"type": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
"vector_store": "vs_abc123",
"size": 125000,
"status": "已索引",
"processing_status": "已完成",
"indexed_on": "2023-06-15T11:45:00Z",
"status_error_message": null,
"created": "2023-06-15T11:30:00Z",
"modified": "2023-06-15T11:45:00Z"
}
]
认证
此端点需要使用 x-api-key
头中的 API 密钥进行认证。
错误响应
状态码
描述
401
未授权 - 无效或缺失的 API 密钥
404
未找到 - 找不到向量存储
500
服务器内部错误
此端点检索指定向量存储中存储的所有文档的列表。它提供有关每个文档的元数据,包括文档的处理状态、大小和索引时间戳。这些信息对于监控您的向量存储内容和检查文档处理状态非常有用。
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