QueryDoctor

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  Goal

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  Goal + Header

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  SQL Best Practices Additional Agent

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  Instructions

Inspiration

Modern applications rely heavily on databases, but understanding them deeply and keeping them optimized is a complex task. QueryDoctor, our generative AI tool, simplifies database analysis and optimization for everyone.

What it does

• Analyzes Query History: Identifies slow queries for targeted optimization.
• Examines Table Structures: Finds design flaws and indexing issues hindering performance.
• Leverages Database Best Practices: Suggests optimizations based on industry standards.

Overview of Usefulness

• Swift Optimization Expert: QueryDoctor accelerates database optimization, saving time and effort for developers, engineers, and admins.
• Democratized Database Knowledge: Empowers users of all levels, even without deep database expertise.
• Data-Driven Insights: Provides specific, actionable recommendations tailored to your database.

Key Benefit for Generative AI Adoption:

By helping users truly understand their data landscape, QueryDoctor eases the path to effective Generative AI implementation.

Target Audience:

• Developers
• Data Engineers
• Database Administrators

Summary of Additional Requirements

To build a full-featured version, we'd need:

• Database Connectors (PostgreSQL, MySQL, MS SQL Server, etc.)
• Analytical Tools (Query Analyzer, Schema Analyzer)
• Knowledge Resources (SQL Best Practices collection)
• Optimization Tools (Optional) (Query Rewriter, Table & View Creator, Schema Optimizer)
• NLP Interface (Vertex AI Agent Builder for a user-friendly chatbot)

Built With

• geminiai
• geminifunctions
• vertexagents
• vertexai