docs: add future enhancements roadmap

Track medium and lower priority features:
- Query history & analytics
- Saved queries / templates
- Schema change detection
- Audit logging, webhooks
- Natural language responses
- Chart generation
- Conversational context
- Multi-language support
- And more...

High-priority features tracked in GitHub issues #43-47.

Author: Sakeeb91

docs/FUTURE_ENHANCEMENTS.md

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+# Future Enhancements
+
+This document tracks potential enhancements and features for future consideration. These are not currently prioritized for implementation but may be valuable additions.
+
+> **Note:** High-priority features are tracked as GitHub issues. This document covers medium and lower priority items.
+
+---
+
+## Medium Priority
+
+Features that would provide meaningful value but are not blocking production use.
+
+### Query History & Analytics
+
+**Description:** Track and analyze user queries to understand usage patterns, identify common issues, and improve the system.
+
+**Features:**
+- Store all queries with timestamps, user IDs, and results
+- Search and filter query history
+- Analytics dashboard showing:
+  - Query volume over time
+  - Success/failure rates
+  - Most common query patterns
+  - Slow queries
+  - Low-confidence queries
+- Export query logs for analysis
+
+**Effort:** Medium
+**Value:** Helps identify improvement opportunities and debug issues
+
+---
+
+### Saved Queries / Templates
+
+**Description:** Allow users to save and share commonly used queries as templates.
+
+**Features:**
+- Save query with name and description
+- Parameterized templates (e.g., "Sales for {month}")
+- Share templates across team/organization
+- Template versioning
+- Usage statistics per template
+
+**Effort:** Low
+**Value:** Reduces repetitive work; standardizes common queries
+
+---
+
+### Schema Change Detection
+
+**Description:** Automatically detect when database schemas change and take appropriate actions.
+
+**Features:**
+- Periodic schema polling or webhook integration
+- Detect added/removed/modified tables and columns
+- Automatically invalidate relevant caches
+- Notify administrators of schema changes
+- Update few-shot examples that reference changed schemas
+- Generate migration impact reports
+
+**Effort:** Medium
+**Value:** Prevents stale cache issues; improves reliability
+
+---
+
+### Query Cost Estimation
+
+**Description:** Estimate query complexity and resource usage before execution.
+
+**Features:**
+- Estimate based on:
+  - Number of tables/joins
+  - Aggregation complexity
+  - Estimated row counts (from statistics)
+  - Index usage
+- Warn users about potentially expensive queries
+- Set cost thresholds for auto-execution
+- Track actual vs estimated costs
+
+**Effort:** Low
+**Value:** Prevents accidental expensive queries; better resource planning
+
+---
+
+### Audit Logging
+
+**Description:** Comprehensive audit trail for compliance and security.
+
+**Features:**
+- Log all queries with user identity
+- Log admin actions (database registration, config changes)
+- Log authentication events
+- Immutable audit storage
+- Audit log search and export
+- Retention policies
+- Integration with SIEM systems
+
+**Effort:** Low
+**Value:** Required for compliance (SOC2, GDPR); security best practice
+
+---
+
+### Webhooks
+
+**Description:** Notify external systems of events via webhooks.
+
+**Events:**
+- Query completed
+- Query failed
+- Database registered/removed
+- Feedback submitted
+- Health status changed
+- Alert triggered
+
+**Features:**
+- Configure webhook endpoints per event type
+- Retry with exponential backoff
+- Signature verification for security
+- Webhook delivery logs
+
+**Effort:** Low
+**Value:** Enables integrations; automation triggers
+
+---
+
+## Lower Priority
+
+Features that are nice-to-have but not essential for most use cases.
+
+### Natural Language Responses
+
+**Description:** Return query results as prose in addition to tables.
+
+**Example:**
+```
+Query: "How many orders were placed last month?"
+SQL: SELECT COUNT(*) FROM orders WHERE created_at >= '2024-11-01'
+Result: 1,234
+
+Natural Response: "There were 1,234 orders placed in November 2024,
+which is a 12% increase compared to October."
+```
+
+**Features:**
+- Generate human-readable summaries of results
+- Include comparisons and context when relevant
+- Support multiple languages
+- Configurable verbosity
+
+**Effort:** Medium
+**Value:** Better UX for non-technical users; chatbot integration
+
+---
+
+### Chart Generation
+
+**Description:** Automatically generate visualizations from query results.
+
+**Features:**
+- Detect chart-appropriate data (time series, categories, etc.)
+- Generate chart suggestions
+- Support chart types:
+  - Line charts (trends)
+  - Bar charts (comparisons)
+  - Pie charts (distributions)
+  - Tables (detailed data)
+- Export as PNG, SVG, or embed code
+- Interactive charts with tooltips
+
+**Effort:** High
+**Value:** Visualization without external tools; better insights
+
+---
+
+### Conversational Context
+
+**Description:** Support follow-up questions that reference previous queries.
+
+**Example:**
+```
+User: "Show me sales by region"
+Agent: [returns results]
+
+User: "Now filter that by Q4 only"
+Agent: [understands "that" refers to previous query]
+```
+
+**Features:**
+- Maintain conversation history per session
+- Resolve pronouns and references
+- Support clarifying questions
+- Handle context switching
+
+**Effort:** High
+**Value:** More natural interaction; reduced query rewriting
+
+---
+
+### Model Fine-Tuning Pipeline
+
+**Description:** Automated pipeline for fine-tuning on customer data.
+
+**Features:**
+- Collect training data from:
+  - Verified feedback
+  - Few-shot examples
+  - Manual annotations
+- Data quality validation
+- Automated fine-tuning jobs
+- A/B testing of fine-tuned models
+- Model versioning and rollback
+- Performance comparison dashboards
+
+**Effort:** Very High
+**Value:** Domain-specific accuracy improvements
+
+---
+
+### Multi-Language Support
+
+**Description:** Support queries in languages other than English.
+
+**Features:**
+- Detect query language automatically
+- Translate query to English for processing
+- Return results with localized formatting
+- Support languages:
+  - Spanish, French, German, Portuguese
+  - Chinese, Japanese, Korean
+  - Others based on demand
+
+**Effort:** Medium
+**Value:** Global user base; accessibility
+
+---
+
+### GraphQL API
+
+**Description:** Provide GraphQL as an alternative to REST API.
+
+**Features:**
+- Schema matching REST capabilities
+- Subscriptions for real-time updates
+- Batching and caching
+- Introspection for client generation
+
+**Effort:** Medium
+**Value:** Better DX for some teams; flexible queries
+
+---
+
+### Query Optimization Suggestions
+
+**Description:** Analyze queries and suggest optimizations.
+
+**Features:**
+- Detect common anti-patterns:
+  - SELECT * when specific columns needed
+  - Missing LIMIT on large tables
+  - Inefficient JOINs
+  - Suboptimal WHERE clauses
+- Suggest index creation
+- Rewrite suggestions for better performance
+- Explain why suggestions improve performance
+
+**Effort:** Medium
+**Value:** Better query performance; user education
+
+---
+
+### Query Scheduling
+
+**Description:** Schedule queries to run at specified times.
+
+**Features:**
+- Cron-like scheduling
+- Email/Slack delivery of results
+- Scheduled report generation
+- Failure notifications
+- Schedule management UI
+
+**Effort:** Medium
+**Value:** Automated reporting; reduces manual work
+
+---
+
+### Data Masking / PII Protection
+
+**Description:** Automatically detect and mask sensitive data in results.
+
+**Features:**
+- Detect PII patterns (emails, SSNs, credit cards)
+- Configurable masking rules
+- Role-based masking (admins see full, users see masked)
+- Audit log of PII access
+- Column-level sensitivity configuration
+
+**Effort:** Medium
+**Value:** Privacy compliance; security
+
+---
+
+### Query Caching with Invalidation Rules
+
+**Description:** Smart caching with automatic invalidation based on data freshness.
+
+**Features:**
+- TTL-based caching (existing)
+- Table-based invalidation (when table updated, invalidate queries)
+- Time-based freshness (e.g., "data from last hour is always fresh")
+- Manual invalidation API
+- Cache hit/miss analytics
+
+**Effort:** Low
+**Value:** Better performance; fresher data
+
+---
+
+### Load Testing Results
+
+**Description:** Document and publish load testing results.
+
+**Deliverables:**
+- Load testing scripts (k6, locust)
+- Performance baselines:
+  - Requests per second at various concurrency levels
+  - Latency percentiles (p50, p95, p99)
+  - Error rates under load
+  - Memory/CPU usage
+- Scaling recommendations
+- Bottleneck analysis
+
+**Effort:** Low
+**Value:** Confidence in production readiness; capacity planning
+
+---
+
+### Disaster Recovery Documentation
+
+**Description:** Document DR procedures and recovery processes.
+
+**Deliverables:**
+- RTO/RPO definitions
+- Backup procedures:
+  - Database backups
+  - Configuration backups
+  - Model weights/artifacts
+- Recovery procedures:
+  - Redis failure recovery
+  - Database failure recovery
+  - Model service failure
+  - Full system recovery
+- DR testing schedule and procedures
+- Runbook updates
+
+**Effort:** Low
+**Value:** Business continuity; compliance
+
+---
+
+## Evaluation Criteria
+
+When prioritizing these features, consider:
+
+| Criterion | Weight |
+|-----------|--------|
+| User demand (feedback, requests) | High |
+| Implementation effort | Medium |
+| Maintenance burden | Medium |
+| Strategic alignment | High |
+| Revenue impact | High |
+| Risk reduction | Medium |
+
+---
+
+## Contributing
+
+To propose new features:
+
+1. Add to this document with description and effort estimate
+2. Discuss in team meeting or GitHub Discussion
+3. If prioritized, create GitHub issue using the [Issue Creation Guide](../.github/ISSUE_CREATION_GUIDE.md)
+
+---
+
+**Last Updated:** 2025-12-22