Actualizar el contenido de un archivo en un Almacén Vectorial

Update a specific document in a vector store.

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

Path parameters

vector-store-id*string

The ID of the vector store.

document-id*integer

The ID of the document.

Header parameters

Body

application/json

namestring

The new name for the document.

Response

200

Document updated successfully.

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/{document-id}/', {
    method: 'PATCH',
    headers: {
      "x-api-key": "text",
      "Content-Type": "application/json"
    },
    body: JSON.stringify({}),
});
const data = await response.json();

Response

200

{
  "name": "text",
  "type": "text",
  "vector_store": "text",
  "status": "text",
  "processing_status": "text",
  "indexed_on": "2024-11-21T08:30:56.752Z",
  "status_error_message": "text",
  "created": "2024-11-21T08:30:56.752Z",
  "modified": "2024-11-21T08:30:56.752Z"
}