Get a list of documents in a Vector Store
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": "2025-06-26T13:03:55.439Z",
"status_error_message": "text",
"created": "2025-06-26T13:03:55.439Z",
"modified": "2025-06-26T13:03:55.439Z"
}
]
Example Requests
curl -X GET \
https://api.rememberizer.ai/api/v1/vector-stores/vs_abc123/documents \
-H "x-api-key: YOUR_API_KEY"
Path Parameters
Parameter
Type
Description
vector-store-id
string
Required. The ID of the vector store to list documents from.
Response Format
[
{
"id": 1234,
"name": "Product Manual.pdf",
"type": "application/pdf",
"vector_store": "vs_abc123",
"size": 250000,
"status": "indexed",
"processing_status": "completed",
"indexed_on": "2023-06-15T10:30:00Z",
"status_error_message": null,
"created": "2023-06-15T10:15:00Z",
"modified": "2023-06-15T10:30:00Z"
},
{
"id": 1235,
"name": "Technical Specifications.docx",
"type": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
"vector_store": "vs_abc123",
"size": 125000,
"status": "indexed",
"processing_status": "completed",
"indexed_on": "2023-06-15T11:45:00Z",
"status_error_message": null,
"created": "2023-06-15T11:30:00Z",
"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
401
Unauthorized - Invalid or missing API key
404
Not Found - Vector Store not found
500
Internal Server Error
This endpoint retrieves a list of all documents stored in the specified vector store. It provides metadata about each document, including the document's processing status, size, and indexed timestamp. This information is useful for monitoring your vector store's contents and checking document processing status.
Last updated