- Deleted the document_processing module and its associated docling_service.
- Updated imports in documents_routes.py and background_tasks.py to reflect the new service structure.
- Ensured compatibility with the task logging system by adjusting type hints for log entries.
- Integrated Docling ETL service with new task logging system
- Maintained consistent logging pattern across all ETL services
- Added progress and success/failure logging for Docling processing
- Remove .env file (should not be committed to version control)
- Revert docker-compose.override.yml to use ghcr images instead of local builds
- Remove unnecessary DOCLING config section from __init__.py
- Remove model context window additions (litellm already provides this)
- Keep litellm<1.70.0 constraint due to Ollama vector_stores 404 errors
Addresses all feedback from PR #211 review
- Added DOCLING as third ETL_SERVICE option (alongside UNSTRUCTURED/LLAMACLOUD)
- Implemented add_received_file_document_using_docling function
- Added Docling processing logic in documents_routes.py
- Enhanced chunking with configurable overlap support
- Added comprehensive document processing service
- Supports both CPU and GPU processing with user selection
Addresses #161 - Add Docling Support as an ETL_SERVICE
Follows same pattern as LlamaCloud integration (PR #123)
\
- Earlier for each chunk, whole message (with all annotations included)
were streamed. Leading to extremely large data length.
- Fixed to only stream new chunk.
- Updated ANSWER part to be streamed as message content (following
Vercel's Stream Protocol)\
- Fixed yield typo
