> ## Documentation Index
> Fetch the complete documentation index at: https://docs.synehq.com/llms.txt
> Use this file to discover all available pages before exploring further.

# AI-Powered Features

> Natural language queries and intelligent data analysis

<Info>
  SyneHQ's AI understands your database schema and provides intelligent assistance for query writing, optimization, and data exploration. Our enterprise-grade AI models deliver accurate, reliable, and contextually aware natural language processing.
</Info>

## Natural Language Processing

<AccordionGroup>
  <Accordion title="How It Works">
    1. **Question Input**: You ask a question in plain English
    2. **Intent Recognition**: AI understands what you're looking for
    3. **Schema Analysis**: AI examines your database structure
    4. **Query Generation**: AI creates the appropriate SQL/NoSQL query
    5. **Execution**: Query runs against your database
    6. **Results**: You get answers with visualizations
  </Accordion>

  <Accordion title="Example Conversations">
    **User**: "Show me our top customers by revenue"
    **AI**: *Analyzes customer and order tables, generates SQL query*
    **Result**: Table of customers with total revenue, sorted descending

    **User**: "Which marketing campaigns are performing best?"
    **AI**: *Joins campaign, user, and conversion tables*
    **Result**: Chart showing campaign performance metrics

    **User**: "What's our monthly growth rate?"
    **AI**: *Calculates month-over-month growth from time-series data*
    **Result**: Line chart with growth trends and percentage changes
  </Accordion>
</AccordionGroup>

## Smart Features

<AccordionGroup>
  <Accordion title="Schema Understanding">
    * **Automatic Discovery**: AI learns your database structure
    * **Relationship Mapping**: Understands table relationships and foreign keys
    * **Data Type Recognition**: Knows how to handle different data types
    * **Business Logic**: Learns your business terminology and metrics
  </Accordion>

  <Accordion title="Context Awareness">
    * **Conversation Memory**: Remembers previous questions in the session
    * **Follow-up Questions**: "Show me more details" works naturally
    * **Query Refinement**: "Filter by last 30 days" modifies previous results
    * **Cross-Reference**: Can reference previous results in new queries
  </Accordion>

  <Accordion title="Query Optimization">
    * **Performance Analysis**: Suggests faster query approaches
    * **Index Recommendations**: Advises on database optimization
    * **Query Rewriting**: Automatically optimizes generated queries
    * **Resource Management**: Efficient memory and CPU usage
  </Accordion>
</AccordionGroup>

## Query Types Supported

<AccordionGroup>
  <Accordion title="Basic Analytics">
    ```sql theme={"system"}
    -- Natural language: "Show me total sales by month"
    SELECT 
      DATE_TRUNC('month', order_date) as month,
      SUM(amount) as total_sales
    FROM orders 
    GROUP BY month 
    ORDER BY month;
    ```
  </Accordion>

  <Accordion title="Complex Joins">
    ```sql theme={"system"}
    -- Natural language: "Which products are most popular with premium customers?"
    SELECT 
      p.name,
      COUNT(o.id) as order_count
    FROM products p
    JOIN order_items oi ON p.id = oi.product_id
    JOIN orders o ON oi.order_id = o.id
    JOIN customers c ON o.customer_id = c.id
    WHERE c.tier = 'premium'
    GROUP BY p.id, p.name
    ORDER BY order_count DESC;
    ```
  </Accordion>

  <Accordion title="Time-Series Analysis">
    ```sql theme={"system"}
    -- Natural language: "Show me daily active users for the last 30 days"
    SELECT 
      DATE(created_at) as date,
      COUNT(DISTINCT user_id) as daily_active_users
    FROM user_sessions
    WHERE created_at >= NOW() - INTERVAL '30 days'
    GROUP BY DATE(created_at)
    ORDER BY date;
    ```
  </Accordion>

  <Accordion title="Cross-Database Queries">
    ```sql theme={"system"}
    -- Natural language: "Compare user data from our main app and mobile app"
    SELECT 
      pg_users.name,
      pg_users.email,
      mobile_users.last_login
    FROM postgres_db.public.users pg_users
    JOIN mysql_db.mobile.users mobile_users
      ON pg_users.email = mobile_users.email;
    ```
  </Accordion>
</AccordionGroup>

## AI Capabilities

<AccordionGroup>
  <Accordion title="Natural Language Understanding">
    * **Question Types**: What, how, when, where, why questions
    * **Comparative Analysis**: "Better than", "worse than", "compared to"
    * **Temporal Queries**: "Last week", "this month", "year over year"
    * **Aggregations**: Sum, average, count, percentage, growth rate
  </Accordion>

  <Accordion title="Business Intelligence">
    * **KPI Calculation**: Revenue, conversion rates, customer lifetime value
    * **Trend Analysis**: Growth patterns, seasonality, anomalies
    * **Segmentation**: Customer groups, product categories, geographic regions
    * **Forecasting**: Simple predictions based on historical data
  </Accordion>

  <Accordion title="Data Exploration">
    * **Schema Discovery**: "What tables do we have?"
    * **Data Profiling**: "Show me sample data from the users table"
    * **Quality Checks**: "Are there any missing values in the orders table?"
    * **Relationship Mapping**: "How are customers and orders related?"
  </Accordion>
</AccordionGroup>

## Enterprise AI Features

<AccordionGroup>
  <Accordion title="Advanced Model Capabilities">
    * **Custom Training**: Train models on your specific business terminology
    * **Domain Adaptation**: Adapt AI to your industry-specific language
    * **Multi-Language Support**: Support for multiple languages and dialects
    * **Context Learning**: AI learns from your team's query patterns
  </Accordion>

  <Accordion title="Security & Compliance">
    * **Data Privacy**: AI models don't store or learn from sensitive data
    * **Audit Trails**: Complete logging of AI-generated queries
    * **Approval Workflows**: Optional approval for AI-generated queries
    * **Custom Security**: Integrate with your security and compliance systems
  </Accordion>

  <Accordion title="Performance & Scalability">
    * **Model Optimization**: Optimized for enterprise-scale workloads
    * **Caching**: Intelligent caching of AI model responses
    * **Load Balancing**: Distributed AI processing across multiple instances
    * **Resource Management**: Efficient GPU and memory utilization
  </Accordion>
</AccordionGroup>

## Learning & Improvement

<AccordionGroup>
  <Accordion title="Adaptive Learning">
    * **User Feedback**: Learns from your corrections and preferences
    * **Query History**: Improves based on successful query patterns
    * **Schema Changes**: Automatically adapts to database modifications
    * **Business Context**: Understands your industry-specific terminology
  </Accordion>

  <Accordion title="Continuous Improvement">
    * **Model Updates**: Regular AI model improvements
    * **Feature Enhancements**: New query capabilities added over time
    * **Performance Optimization**: Faster and more accurate query generation
    * **Language Support**: Additional languages and dialects
  </Accordion>
</AccordionGroup>

## Best Practices

<AccordionGroup>
  <Accordion title="Writing Effective Questions">
    * **Be Specific**: "Show me sales from Q1" vs "Show me sales"
    * **Use Business Terms**: "Premium customers" vs "customers with tier = 'premium'"
    * **Provide Context**: "Compared to last year" vs just "growth"
    * **Ask Follow-ups**: "Show me more details" or "Break this down by region"
  </Accordion>

  <Accordion title="Working with AI">
    * **Start Simple**: Begin with basic questions, then add complexity
    * **Use Natural Language**: Don't try to write SQL-like queries
    * **Provide Feedback**: Correct the AI when it makes mistakes
    * **Explore Gradually**: Build up to complex multi-table analysis
  </Accordion>
</AccordionGroup>

## Limitations & Considerations

<Info>
  While SyneHQ's AI is powerful, understanding its limitations helps you use it most effectively.
</Info>

<AccordionGroup>
  <Accordion title="Current Limitations">
    * **Complex Business Logic**: Very specific business rules may need manual queries
    * **Custom Functions**: Database-specific functions may not be supported
    * **Performance Tuning**: Very large datasets may need optimization
    * **Real-time Data**: Some real-time features may have slight delays
  </Accordion>

  <Accordion title="When to Use Manual Queries">
    * **Highly Optimized Queries**: When performance is critical
    * **Custom Aggregations**: Complex business calculations
    * **Database-Specific Features**: Using database-specific functions
    * **Debugging**: When you need to see the exact SQL being generated
  </Accordion>
</AccordionGroup>

## Getting Started

<Info>
  Ready to start using AI features? Follow these steps to get the most out of natural language querying.
</Info>

<AccordionGroup>
  <Accordion title="Your First AI Query">
    1. **Connect your database** (if not already done)
    2. **Ask a simple question**: "Show me total sales"
    3. **Review the results**: Check if the answer makes sense
    4. **Ask follow-ups**: "Break this down by month"
    5. **Explore further**: "Which products are selling best?"
  </Accordion>

  <Accordion title="Tips for Success">
    * **Start with familiar data**: Query tables you understand well
    * **Use business language**: Speak naturally, not technically
    * **Be patient**: AI improves with more usage and feedback
    * **Ask for help**: Use the "Explain this query" feature to learn
  </Accordion>
</AccordionGroup>

## Enterprise AI Support

<Info>
  For enterprise customers, we offer custom AI model training and specialized support for your specific business needs.
</Info>

<AccordionGroup>
  <Accordion title="Custom AI Training">
    Train AI models on your specific business terminology and data patterns for enhanced accuracy and relevance.
  </Accordion>

  <Accordion title="AI Consulting">
    * **Query Optimization**: Expert guidance on writing effective natural language queries
    * **Schema Optimization**: Optimize your database schema for better AI understanding
    * **Business Logic**: Help AI understand your specific business rules and KPIs
    * **Team Training**: Train your team on effective AI usage
  </Accordion>
</AccordionGroup>

<Card title="AI Query Examples" icon="lightbulb" href="/ai/examples">
  See more examples of natural language queries
</Card>

<CardGroup cols={2}>
  <Card title="Query Optimization" icon="speed" href="/optimization">
    Learn how to write better natural language queries
  </Card>

  <Card title="Enterprise AI" icon="brain" href="/enterprise/ai">
    Custom AI training and enterprise features
  </Card>
</CardGroup>