curl -X POST "https://api.pingr.ai/api/v1/knowledge-base/upload" \
  -H "Authorization: Bearer <token>" \
  -F "file=@/path/to/product_manual.pdf"

import requests

url = "https://api.pingr.ai/api/v1/knowledge-base/upload"

headers = {
    "Authorization": "Bearer <token>"
}

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

print(response.status_code)
print(response.json())

const formData = new FormData();
formData.append("file", fileInputElement.files[0]);

const response = await fetch("https://api.pingr.ai/api/v1/knowledge-base/upload", {
  method: "POST",
  headers: {
    "Authorization": "Bearer <token>"
  },
  body: formData
});

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

HttpRequest request = HttpRequest.newBuilder()
    .uri(URI.create("https://api.pingr.ai/api/v1/knowledge-base/upload"))
    .header("Authorization", "Bearer <token>")
    .POST(ofMimeMultipartData(Map.of("file", Paths.get("product_manual.pdf")), boundary))
    .build();

HttpResponse<String> response =
    HttpClient.newHttpClient().send(request, HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());

{
  "id": "c5d1e2f3-4a5b-6c7d-8e9f-0123456789ab",
  "organization_id": "93f35dc2-5d46-4e58-a9ee-038c35d9bcf1",
  "document_type": "pdf",
  "file_name": "product_manual.pdf",
  "uploaded_at": "2026-09-07T12:00:00Z",
  "updated_at": "2026-09-07T12:00:00Z"
}

{
  "detail": "Unsupported file format. Please upload a PDF, DOCX, or TXT file."
}

{
  "detail": "Unauthorized"
}

{
  "error": "rate_limit_exceeded",
  "message": "Rate limit exceeded for endpoint. Please retry after backoff.",
  "retry_after": 60
}