> ## Documentation Index
> Fetch the complete documentation index at: https://docs.cognee.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Remember

> Ingest data and build the knowledge graph in a single call.

This endpoint combines the add and cognify steps. Data is ingested
first, then automatically processed into a structured knowledge graph.

## Request Parameters
- **data** (List[UploadFile]): Files to upload and process.
- **datasetName** (Optional[str]): Name of the target dataset.
- **datasetId** (Optional[UUID]): UUID of an existing dataset.
- **node_set** (Optional[List[str]]): Node identifiers for graph organisation.
- **run_in_background** (Optional[bool]): Run the cognify step asynchronously (default: False).
- **custom_prompt** (Optional[str]): Custom prompt for entity extraction.
- **chunks_per_batch** (Optional[int]): Chunks per cognify batch.

Either datasetName or datasetId must be provided.

## Error Codes
- **400 Bad Request**: Neither datasetId nor datasetName provided
- **409 Conflict**: Error during processing



## OpenAPI

````yaml /cognee_openapi_spec.json post /api/v1/remember
openapi: 3.1.0
info:
  title: Cognee API
  description: Cognee API with Bearer token and Cookie auth
  version: 1.0.0
servers:
  - url: https://api.cognee.ai
    description: Production server (full functionality)
  - url: http://localhost:8000
    description: Local development server (requires local setup)
security:
  - BearerAuth: []
  - ApiKeyAuth: []
tags:
  - name: activity
    description: ''
  - name: add
    description: Data ingestion endpoints for adding text, files, and structured data.
  - name: auth
    description: >-
      Authentication endpoints for user registration, login, and token
      management.
  - name: checks
    description: ''
  - name: cognify
    description: >-
      Knowledge processing endpoints to transform raw data into knowledge
      graphs.
  - name: configuration
    description: ''
  - name: datasets
    description: Dataset management endpoints for listing, creating, and deleting datasets.
  - name: delete
    description: Data deletion endpoints (deprecated — use datasets endpoints instead).
  - name: forget
    description: ''
  - name: health
    description: ''
  - name: improve
    description: ''
  - name: llm
    description: ''
  - name: memify
    description: ''
  - name: notebooks
    description: ''
  - name: ontologies
    description: ''
  - name: permissions
    description: Permission management for multi-user access control.
  - name: recall
    description: ''
  - name: remember
    description: ''
  - name: responses
    description: Response generation endpoints using the knowledge graph.
  - name: search
    description: Search endpoints for querying the knowledge graph.
  - name: sessions
    description: ''
  - name: settings
    description: Configuration endpoints for managing Cognee settings.
  - name: sync
    description: ''
  - name: update
    description: ''
  - name: users
    description: User management endpoints.
  - name: visualize
    description: Graph visualization endpoints.
paths:
  /api/v1/remember:
    post:
      tags:
        - remember
      summary: Remember
      description: >-
        Ingest data and build the knowledge graph in a single call.


        This endpoint combines the add and cognify steps. Data is ingested

        first, then automatically processed into a structured knowledge graph.


        ## Request Parameters

        - **data** (List[UploadFile]): Files to upload and process.

        - **datasetName** (Optional[str]): Name of the target dataset.

        - **datasetId** (Optional[UUID]): UUID of an existing dataset.

        - **node_set** (Optional[List[str]]): Node identifiers for graph
        organisation.

        - **run_in_background** (Optional[bool]): Run the cognify step
        asynchronously (default: False).

        - **custom_prompt** (Optional[str]): Custom prompt for entity
        extraction.

        - **chunks_per_batch** (Optional[int]): Chunks per cognify batch.


        Either datasetName or datasetId must be provided.


        ## Error Codes

        - **400 Bad Request**: Neither datasetId nor datasetName provided

        - **409 Conflict**: Error during processing
      operationId: remember_api_v1_remember_post
      requestBody:
        content:
          multipart/form-data:
            schema:
              $ref: '#/components/schemas/Body_remember_api_v1_remember_post'
      responses:
        '200':
          description: Successful Response
          content:
            application/json:
              schema:
                additionalProperties: true
                type: object
                title: Response Remember Api V1 Remember Post
        '422':
          description: Validation Error
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/HTTPValidationError'
      security:
        - BearerAuth: []
        - ApiKeyAuth: []
components:
  schemas:
    Body_remember_api_v1_remember_post:
      properties:
        data:
          items:
            type: string
            format: binary
          type: array
          title: Data
        datasetName:
          anyOf:
            - type: string
            - type: 'null'
          title: Datasetname
        datasetId:
          anyOf:
            - type: string
              format: uuid
            - type: string
              const: ''
            - type: 'null'
          title: Datasetid
          examples:
            - ''
        session_id:
          anyOf:
            - type: string
            - type: 'null'
          title: Session Id
          examples:
            - ''
        node_set:
          anyOf:
            - items:
                type: string
              type: array
            - type: 'null'
          title: Node Set
          default:
            - ''
        run_in_background:
          anyOf:
            - type: boolean
            - type: 'null'
          title: Run In Background
          default: false
        custom_prompt:
          anyOf:
            - type: string
            - type: 'null'
          title: Custom Prompt
          default: ''
        chunks_per_batch:
          anyOf:
            - type: integer
            - type: 'null'
          title: Chunks Per Batch
          default: 10
      type: object
      title: Body_remember_api_v1_remember_post
    HTTPValidationError:
      properties:
        detail:
          items:
            $ref: '#/components/schemas/ValidationError'
          type: array
          title: Detail
      type: object
      title: HTTPValidationError
    ValidationError:
      properties:
        loc:
          items:
            anyOf:
              - type: string
              - type: integer
          type: array
          title: Location
        msg:
          type: string
          title: Message
        type:
          type: string
          title: Error Type
        input:
          title: Input
        ctx:
          type: object
          title: Context
      type: object
      required:
        - loc
        - msg
        - type
      title: ValidationError
  securitySchemes:
    BearerAuth:
      type: http
      scheme: bearer
      bearerFormat: JWT
    ApiKeyAuth:
      type: apiKey
      in: header
      name: X-Api-Key

````