curl --request POST \
  --url 'https://my.orq.ai/v2/knowledge/01JEXAMPLEKNOWLEDGEBASE01/datasources/01JEXAMPLEDATASOURCE0001/chunks' \
  --header "Authorization: Bearer $ORQ_API_KEY" \
  --header 'Content-Type: application/json' \
  --data '[
    {
      "text": "ORQ routes each request to the configured model.",
      "metadata": {"section":"routing"}
    }
  ]'

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify([{text: '<string>', embedding: [123], metadata: {}, _id: '<string>'}])
};

fetch('https://my.orq.ai/v2/knowledge/{knowledge_id}/datasources/{datasource_id}/chunks', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

import requests

url = "https://my.orq.ai/v2/knowledge/{knowledge_id}/datasources/{datasource_id}/chunks"

payload = [
    {
        "text": "<string>",
        "embedding": [123],
        "metadata": {},
        "_id": "<string>"
    }
]
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

[
  {
    "text": "<string>",
    "enabled": true,
    "status": "pending",
    "created": "<string>",
    "updated": "<string>",
    "_id": "<string>",
    "metadata": {},
    "created_by_id": "<string>",
    "update_by_id": "<string>",
    "processing_attempts": [
      {
        "id": "<string>",
        "started_at": "<string>",
        "queued_at": "<string>",
        "completed_at": "<string>",
        "errors": [
          {
            "code": 123,
            "message": "<string>"
          }
        ],
        "retryable": true
      }
    ],
    "count_metadata": {
      "words_count": 123,
      "sentences_count": 123,
      "paragraphs_count": 123,
      "tokens_count": 123,
      "characters_count": 123,
      "chunks_count": 123
    }
  }
]