DeepSieve's core features include.
- Query decomposition: Split a complex query into multiple simple sub-problems to facilitate precise processing
- Sub-issue routing:: Intelligent assignment of sub-questions to appropriate tools or data sources (e.g., local databases or global knowledge bases)
- Reflection mechanisms: Automatically detects failed searches and retries them, supporting up to two reflections
- Convergence of answers: Integrate sub-question answers to generate a final response
- Diversified data source processing: Support for heterogeneous data such as SQL tables, JSON logs, Wikipedia, etc.
- Two RAG modes:: Provide simple (Naive) and graph structure (Graph) search mode
These features make it a powerful tool for handling complex queries and multi-source data.
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 core features of DeepSieve?
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