# ai_index_orgs_users_documents_retrieve

Retrieve details of a specific document embedding.

This endpoint returns detailed information about a specific
document embedding identified by its ID.

Args:
    request: The HTTP request.
    org: Organization key identifier.
    document_id: The ID of the document embedding to retrieve.

Returns:
    Response: Detailed information about the document embedding.

Raises:
    NotFound: If the specified document embedding does not exist.

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

## Path parameters:

  - `document_id` (string, required)

  - `org` (string, required)

  - `user_id` (string, required)

## Response 200 fields (application/json):

  - `id` (integer, required)

  - `metadata` (any,null)

  - `document_name` (string,null)

  - `document_type` (string,null)

  - `training_status` (any,null)

  - `pathway` (string, required)

  - `url` (string,null)

  - `tokens` (integer,null)

  - `platform_key` (string, required)

  - `is_trained` (boolean)

  - `access` (any,null)

  - `crawler_max_depth` (integer,null)

  - `crawler_max_pages_limit` (integer,null)

  - `crawler_max_concurrency` (integer,null)

  - `crawler_match_patterns` (any)
    List of 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)