Solutions for parsing multi-format documents
Simba solves complex document parsing problems in the following ways:
- modular parsing architecture: the parsing logic is encapsulated in the backend/services/ directory, which supports flexibility and extensibility
- Celery Task Queue: Start the parsing task worker with celery -A tasks.parsing_tasks worker
- Configuration Switch: enable_parsers in the features section for global control of parsing.
- chunking optimization: Adaptation of the chunking parameter to the needs of different document types
Specific implementation recommendations:
- Larger chunk_size (e.g. 1024) is recommended for large documents.
- Technical documentation can increase chunk_overlap to ensure contextual coherence
- Celery work logs can be viewed while debugging (-loglevel=info)
- Complex formats can customize the parser logic in the backend/services
This answer comes from the articleSimba: Knowledge management system for organizing documents, seamlessly integrated into any RAG systemThe
May not be reproduced without permission:AI productivity tools " How to solve the technical difficulties of parsing multi-format documents?
English 
简体中文 
日本語 
Deutsch 
Português do Brasil