获取向量存储中的文档列表

List all documents in a vector store.

GEThttps://api.rememberizer.ai/api/v1/vector-stores/{vector-store-id}/documents

Path parameters

vector-store-id*string

The ID of the vector store.

Header parameters

Response

200

A list of documents.

Body

application/json

idinteger

Document ID.

namestring

Document name.

typestring

Document type.

vector_storestring

The ID of the vector store.

sizeinteger

Document size in bytes.

statusstring

Document status.

processing_statusstring

Processing status.

indexed_onnullable string (date-time)

Time when the document was indexed.

status_error_messagenullable string

Error message for status.

createdstring (date-time)

Creation timestamp.

modifiedstring (date-time)

Modification timestamp.

Request

JavaScriptCurlPython

const response = await fetch('https://api.rememberizer.ai/api/v1/vector-stores/{vector-store-id}/documents', {
    method: 'GET',
    headers: {
      "x-api-key": "text"
    },
});
const data = await response.json();

Response

200

[
  {
    "name": "text",
    "type": "text",
    "vector_store": "text",
    "status": "text",
    "processing_status": "text",
    "indexed_on": "2024-11-21T09:16:23.722Z",
    "status_error_message": "text",
    "created": "2024-11-21T09:16:23.722Z",
    "modified": "2024-11-21T09:16:23.722Z"
  }
]