D-Bot (LLMs as Database Administrators)
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Introduces D-Bot, an LLM-based framework that continuously acquires database-administration knowledge from textual sources.
Knowledge detection: Automatically detects database-maintenance knowledge from documentation and tool outputs, continuously updating its operational knowledge base.
Tree-of-thought diagnosis: Uses tree-of-thought reasoning for root-cause analysis of database performance and reliability issues.
Multi-LLM collaboration: Collaborative diagnosis among multiple LLMs yields better root-cause identification than single-model analysis.
DBA augmentation: Positions LLMs as augmenting DBAs rather than replacing them, with concrete value on knowledge retrieval and diagnostic reasoning.
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