curl -X POST https://api.example.com/api/knowledge/documents/stream \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -H "Accept: text/event-stream" \
  -N \
  -d '{
    "projectId": "proj_123",
    "fileName": "large-document.pdf",
    "fileType": "pdf",
    "sourceType": "upload",
    "content": "Large document content..."
  }'

const response = await fetch('https://api.example.com/api/knowledge/documents/stream', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer YOUR_API_KEY',
    'Content-Type': 'application/json',
    'Accept': 'text/event-stream'
  },
  body: JSON.stringify({
    projectId: 'proj_123',
    fileName: 'large-document.pdf',
    fileType: 'pdf',
    sourceType: 'upload',
    content: 'Large document content...'
  })
});

const reader = response.body.getReader();
const decoder = new TextDecoder();

while (true) {
  const { done, value } = await reader.read();
  if (done) break;
  
  const chunk = decoder.decode(value);
  const lines = chunk.split('\n');
  
  for (const line of lines) {
    if (line.startsWith('data: ')) {
      const event = JSON.parse(line.slice(6));
      console.log('Progress:', event.progress, event.message);
    }
  }
}

import requests
import json

response = requests.post(
    'https://api.example.com/api/knowledge/documents/stream',
    headers={
        'Authorization': 'Bearer YOUR_API_KEY',
        'Content-Type': 'application/json',
        'Accept': 'text/event-stream'
    },
    json={
        'projectId': 'proj_123',
        'fileName': 'large-document.pdf',
        'fileType': 'pdf',
        'sourceType': 'upload',
        'content': 'Large document content...'
    },
    stream=True
)

for line in response.iter_lines():
    if line:
        decoded = line.decode('utf-8')
        if decoded.startswith('data: '):
            event = json.loads(decoded[6:])
            print(f"Progress: {event['progress']}% - {event['message']}")

data: {"type":"progress","progress":10,"message":"Parsing document"}

data: {"type":"progress","progress":30,"message":"Extracting text"}

data: {"type":"progress","progress":60,"message":"Creating embeddings"}

data: {"type":"progress","progress":90,"message":"Storing vectors"}

data: {"type":"complete","progress":100,"message":"Document indexed successfully","documentId":"doc_abc123xyz"}