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The Database Toolkit transforms agents into expert data analysts, providing comprehensive database access and data visualization capabilities. Agents can connect to external SQL databases and internal Smart Tables to query, analyze, and visualize data with built-in charting tools.

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Configuration Options

Database toolkit configuration with data source settings Database toolkit Smart Table and Visualization tools
  • Data Source Type: Choose between SQL (external databases), Smart Tables (internal data), or CSV/Excel files.
  • Database Connection: Select from configured database connections for SQL data sources.
  • Table Metadata Caching: For SQL Server, optionally cache table metadata to speed up loading with large databases.
  • Helper Prompt: Provide additional context to help the AI understand your database schema and structure.

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Available Tools

The Database Toolkit provides 14 tools organized into four categories:

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SQL Tools (4 tools)

  • Database Query: Execute SQL queries on connected databases to retrieve and analyze data.
  • Database Schema: Get comprehensive schema information from databases including tables, columns, and relationships.
  • List Tables: List all tables available in the connected database.
  • Query Checker: Validate and check SQL queries for syntax errors before execution.

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Smart Table Tools (4 tools)

  • Add Row: Add new rows to Smart Tables for data entry and record creation.
  • Edit Row: Edit existing rows in Smart Tables to update data values.
  • List Smart Tables: List all available Smart Tables in the current project.
  • Describe Table: Get detailed table structure and metadata including column definitions and data types.

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Visualization Tools (6 tools)

  • Pie Chart: Generate pie charts from data to show proportions and percentages.
  • Bar Chart: Generate bar charts from data for comparing values across categories.
  • Line Chart: Generate line charts from data to visualize trends over time.
  • Comparison Chart: Generate line charts with comparison data for multi-series analysis.
  • Area Chart: Generate area charts from data to show cumulative totals and trends.
  • Chart Help: Get help and guidance for creating charts with best practices and examples.

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Use Cases

  • Business Intelligence: Query sales databases to generate revenue reports with automatic chart visualization.
  • Data Analysis: Analyze customer data from Smart Tables and create trend visualizations.
  • Report Automation: Execute scheduled queries and generate formatted reports with charts.
  • Database Exploration: Use schema tools to understand database structure and relationships.
  • Data Validation: Check SQL queries before execution to prevent errors.
  • Dashboard Creation: Build interactive dashboards with multiple chart types from database queries.