Update Dataset Schema - Cognee Documentation

PUT

api

datasets

{dataset_id}

schema

Update Dataset Schema

curl --request PUT \
  --url https://api.cognee.ai/api/v1/datasets/{dataset_id}/schema \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "graphSchema": {},
  "customPrompt": "<string>"
}
'

import requests

url = "https://api.cognee.ai/api/v1/datasets/{dataset_id}/schema"

payload = {
    "graphSchema": {},
    "customPrompt": "<string>"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

{}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>",
      "input": "<unknown>",
      "ctx": {}
    }
  ]
}

Authorizations

Authorization

string

header

required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Path Parameters

dataset_id

string<uuid>

required

Body

application/json

graphSchema

Graphschema · object | null

customPrompt

string | null

Response

Successful Response

The response is of type Response Update Dataset Schema Api V1 Datasets Dataset Id Schema Put · object.

List OntologiesList all uploaded ontologies for the authenticated user. ## Response Returns a dictionary mapping ontology keys to their metadata including filename, size, and upload timestamp. ## Error Codes - **500 Internal Server Error**: File system or processing errors

⌘I

Update Dataset Schema

curl --request PUT \
  --url https://api.cognee.ai/api/v1/datasets/{dataset_id}/schema \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "graphSchema": {},
  "customPrompt": "<string>"
}
'

import requests

url = "https://api.cognee.ai/api/v1/datasets/{dataset_id}/schema"

payload = {
    "graphSchema": {},
    "customPrompt": "<string>"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

{}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>",
      "input": "<unknown>",
      "ctx": {}
    }
  ]
}