curl --request POST \
  --url https://api.orq.ai/v2/memory-stores \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "key": "<string>",
  "embedding_config": {
    "model": "<string>"
  },
  "description": "<string>",
  "path": "<string>",
  "ttl": 123
}
'

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    key: '<string>',
    embedding_config: {model: '<string>'},
    description: '<string>',
    path: '<string>',
    ttl: 123
  })
};

fetch('https://api.orq.ai/v2/memory-stores', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

import requests

url = "https://api.orq.ai/v2/memory-stores"

payload = {
    "key": "<string>",
    "embedding_config": { "model": "<string>" },
    "description": "<string>",
    "path": "<string>",
    "ttl": 123
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

{
  "key": "<string>",
  "description": "<string>",
  "created": "<string>",
  "updated": "<string>",
  "embedding_config": {
    "model": "<string>"
  },
  "_id": "<string>",
  "created_by_id": "<string>",
  "updated_by_id": "<string>",
  "ttl": 123
}