post:
  tags:
    - Flow Services
  summary: Document Load - load binary documents (PDF, etc.)
  description: |
    Load binary documents (PDF, Word, etc.) into processing pipeline.

    ## Document Load Overview

    Fire-and-forget binary document loading:
    - **Input**: Document data (base64 encoded)
    - **Process**: Extract text, chunk, embed, store
    - **Output**: None (202 Accepted)

    Asynchronous processing for PDF and other binary formats.

    ## Processing Pipeline

    Documents go through:
    1. **Text extraction**: PDF→text, DOCX→text, etc.
    2. **Chunking**: Split into overlapping chunks
    3. **Embedding**: Generate vectors for each chunk
    4. **Storage**: Store chunks + embeddings
    5. **Indexing**: Make searchable

    Pipeline runs asynchronously.

    ## Supported Formats

    - **PDF**: Portable Document Format
    - **DOCX**: Microsoft Word
    - **HTML**: Web pages
    - Other formats via extractors

    Format detected from content, not extension.

    ## Binary Encoding

    Documents must be base64 encoded:
    ```python
    with open('document.pdf', 'rb') as f:
        doc_bytes = f.read()
    encoded = base64.b64encode(doc_bytes).decode('utf-8')
    ```

    ## Metadata

    Optional RDF triples:
    - Document properties
    - Source information
    - Custom attributes

    ## Use Cases

    - **PDF ingestion**: Process research papers
    - **Document libraries**: Index document collections
    - **Content migration**: Import from other systems
    - **Automated processing**: Batch document loading

    ## No Response Data

    Returns 202 Accepted immediately:
    - Document queued
    - Processing happens asynchronously
    - No status tracking
    - Query later to verify indexed

  operationId: documentLoadService
  security:
    - bearerAuth: []
  parameters:
    - name: flow
      in: path
      required: true
      schema:
        type: string
      description: Flow instance ID
      example: my-flow
  requestBody:
    required: true
    content:
      application/json:
        schema:
          $ref: '../../components/schemas/loading/DocumentLoadRequest.yaml'
        examples:
          loadPdf:
            summary: Load PDF document
            value:
              data: JVBERi0xLjQKJeLjz9MKMSAwIG9iago8PC9UeXBlL0NhdGFsb2cvUGFnZXMgMiAwIFI+PmVuZG9iagoyIDAgb2JqCjw8L1R5cGUvUGFnZXMvS2lkc1szIDAgUl0vQ291bnQgMT4+ZW5kb2JqCg==
              id: doc-789
              user: alice
              collection: research
          withMetadata:
            summary: Load with metadata
            value:
              data: JVBERi0xLjQKJeLjz9MK...
              id: doc-101112
              user: bob
              collection: papers
              metadata:
                - s: {v: "doc-101112", e: false}
                  p: {v: "http://purl.org/dc/terms/title", e: true}
                  o: {v: "Quantum Entanglement Research", e: false}
                - s: {v: "doc-101112", e: false}
                  p: {v: "http://purl.org/dc/terms/date", e: true}
                  o: {v: "2024-01-15", e: false}
  responses:
    '202':
      description: Document accepted for processing
      content:
        application/json:
          schema:
            type: object
            properties: {}
          example: {}
    '401':
      $ref: '../../components/responses/Unauthorized.yaml'
    '500':
      $ref: '../../components/responses/Error.yaml'