Features
Natural language to SQL and Pandas code
Multi-turn conversational data exploration
Agent orchestrator for chained analyses
Automated visualization gallery (bar, line, pie, scatter)
Chart export (PNG, PDF) from chat results
RAG-based context retrieval for large datasets
Snowflake native data sharing support
Explainable AI with generated code display
Data upload from CSV, Parquet, Excel, SQL databases
Query history with audit trail
Collaborative sharing of queries and dashboards
Sandboxed code execution environment
Support for multiple LLM backends (OpenAI, Anthropic, local)
Data lineage tracking per query
Caching for repeated queries
Natural language querying with transparent SQL/Python
Reactive notebooks with auto-updating cells
Governed context layer for consistent metric definitions
Skills library for reusable analytic logic
Rules engine for custom AI behavior
Metrics catalog for consistent definitions
Interactive boards with auto-refresh
Embed analytics via Slack, API, or iframe
AI chat sidebar for quick edits
Collaborative notebooks with version control
Verified board approval workflow
Restrict datasource access to specific users
Request access button for private conversations
Email notifications on share actions
