Care should be taken when using DeepSieve:
- Data preparation: Ensure that the input data is in the correct format (e.g. CSV, JSON) to avoid encoding errors
- API Management: Confirm that the LLM API key is valid and that the network connection is stable.
- Log checking: View outputs/directory after run to analyze performance metrics and error logs
- Module Selection: Enable/disable function modules as needed (-decompose, etc.)
- Community Support: Visit the GitHub Issues page or the arXiv paper for help when you run into problems!
It is recommended to process small sample data for the first time and verify that the system is running properly before processing the full data set.
This answer comes from the articleDeepSieve: a RAG Intelligent Information Screening Tool for Processing Complex Query SourcesThe
May not be reproduced without permission:AI productivity tools " What are the considerations when using DeepSieve?
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