memify

Memify

Enrichment pipeline in Cognee, can work with already built graphs. If no data is provided existing knowledge graph will be used as data, custom data can also be provided instead which can be processed with provided extraction and enrichment tasks.

Provided tasks and data will be arranged to run the Cognee pipeline and execute graph enrichment/creation.

Request Parameters

extractionTasks Optional[List[str]]: List of available Cognee Tasks to execute for graph/data extraction.
enrichmentTasks Optional[List[str]]: List of available Cognee Tasks to handle enrichment of provided graph/data from extraction tasks.
data Optional[List[str]]: The data to ingest. Can be any text data when custom extraction and enrichment tasks are used. Data provided here will be forwarded to the first extraction task in the pipeline as input. If no data is provided the whole graph (or subgraph if node_name/node_type is specified) will be forwarded
dataset_name (Optional[str]): Name of the datasets to memify
dataset_id (Optional[UUID]): List of UUIDs of an already existing dataset
node_name (Optional[List[str]]): Filter graph to specific named entities (for targeted search). Used when no data is provided.
run_in_background (Optional[bool]): Whether to execute processing asynchronously. Defaults to False (blocking).

Either datasetName or datasetId must be provided.

Response

Returns information about the add operation containing:

Status of the operation
Details about the processed data
Any relevant metadata from the ingestion process

Error Codes

400 Bad Request: Neither datasetId nor datasetName provided
409 Conflict: Error during memify operation
403 Forbidden: User doesn’t have permission to use dataset

Notes

To memify datasets not owned by the user, use dataset_id (when ENABLE_BACKEND_ACCESS_CONTROL is set to True)
datasetId value can only be the UUID of an already existing dataset

POST

api

memify

Memify

curl --request POST \
  --url https://api.cognee.ai/api/v1/memify \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "extractionTasks": [],
  "enrichmentTasks": [],
  "data": "",
  "datasetName": "<string>",
  "datasetId": "",
  "nodeName": [],
  "runInBackground": false
}
'

import requests

url = "https://api.cognee.ai/api/v1/memify"

payload = {
    "extractionTasks": [],
    "enrichmentTasks": [],
    "data": "",
    "datasetName": "<string>",
    "datasetId": "",
    "nodeName": [],
    "runInBackground": False
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

{}

{
  "error": "<string>",
  "detail": "<string>"
}

{
  "error": "<string>",
  "detail": "<string>"
}

{
  "error": "<string>",
  "detail": "<string>"
}

{
  "error": "<string>",
  "detail": "<string>"
}

Authorizations

Authorization

string

header

required

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

Body

application/json

extractionTasks

string[] | null

Example:

[]

enrichmentTasks

string[] | null

Example:

[]

data

string | null

default:""

datasetName

string | null

datasetId

Example:

""

nodeName

string[] | null

Example:

[]

runInBackground

boolean | null

default:false

Response

Successful Response

The response is of type Response Memify Api V1 Memify Post · object.

⌘I

Memify

curl --request POST \
  --url https://api.cognee.ai/api/v1/memify \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "extractionTasks": [],
  "enrichmentTasks": [],
  "data": "",
  "datasetName": "<string>",
  "datasetId": "",
  "nodeName": [],
  "runInBackground": false
}
'

import requests

url = "https://api.cognee.ai/api/v1/memify"

payload = {
    "extractionTasks": [],
    "enrichmentTasks": [],
    "data": "",
    "datasetName": "<string>",
    "datasetId": "",
    "nodeName": [],
    "runInBackground": False
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

{}

{
  "error": "<string>",
  "detail": "<string>"
}

{
  "error": "<string>",
  "detail": "<string>"
}

{
  "error": "<string>",
  "detail": "<string>"
}

{
  "error": "<string>",
  "detail": "<string>"
}

Getting Started

auth

add

cognify

memify

search

permissions

datasets

ontologies

settings

visualize

schema

skills

configuration

delete

update

responses

llm

sync

users

checks

health

agent management

agent connections

activity

sessions

remember

recall

improve

forget

slack

integrations

Memify

Request Parameters

Response

Error Codes

Notes

Authorizations

Body

Response