# ai_index_orgs_users_documents_train_create

Train a document through a worker process.

This endpoint queues larger documents for training through a worker
process, which is more suitable for handling documents that would
take too long to process directly.

Args:
    request: The HTTP request containing the document information.
    org: Organization key identifier.

Returns:
    Response: A confirmation that the document was queued for training,
             including a task ID for tracking the progress.

Raises:
    ValidationError: If the request data is invalid.
    BadRequest: If there was an error processing the document.

Endpoint: POST /api/ai-index/orgs/{org}/users/{user_id}/documents/train/
Version: 3.59.0-ai-plus
Security: PlatformApiKeyAuthentication

## Path parameters:

  - `org` (string, required)

  - `user_id` (string, required)

## Request fields (multipart/form-data):

  - `pathway` (string, required)
    Pathway for document to be trained in

  - `url` (string)
    Url of the document to be trained

  - `text` (string)
    Search text for wikipedia

  - `type` (string, required)
    Type of document e.g file

  - `translate` (boolean)
    If file should be translated

  - `file` (string)
    File to be trained

  - `access` (string)
    Accessibilityto the file

  - `branch` (string)
    Branch of the repository

  - `google_drive_auth_data` (any)
    Authentication and scoped details of google drive

  - `dropbox_auth_data` (any)
    Authentication and scoped details of dropbox

  - `crawler_max_depth` (integer)
    The max depth of the crawler

  - `crawler_max_pages_limit` (integer)
    The max pages limit of the crawler

  - `crawler_max_concurrency` (integer)
    The max concurrency of the crawler

  - `crawler_match_patterns` (array)
    The patterns that the crawler should use to match urls. Patterns may be a glob pattern or a full regex pattern. Indicate the specified type in .

  - `crawler_use_glob_matching` (boolean)
    Whether to use glob patterns for the crawler

## Response 200 fields (application/json):

  - `document_id` (string)
    Document id for document in training

  - `task_id` (string)
    Task id for document in training

  - `message` (string, required)
    Message of the training

  - `error` (string)