- Chat with any data source Ask questions in web, Slack, or else. Create charts, tables, and full beautiful reports/dashboards by chatting with your data—powered by an agentic loop for tool use, reflection, and reasoning.
- Context-aware & customizable Define terms, KPIs, rules and instructions. Ingest from dbt, Tableau, code, AGENTS.md, and have AI continiously maintain and monitor.
- Any LLM, any data Connect multiple data sources: Snowflake, BigQuery, Redshift, Postgres, dbt, Tableau, and more — then pair with the LLM of your choice (OpenAI, Anthropic, or local models). Swap models/data sources without breaking workflows.
- Transparency, trust & deployment Track every AI decision, trace, and feedback. Analyze quality and usage in the console. Deploy fully in your VPC with Docker/Compose, VMs, or Kubernetes. Enterprise-ready with RBAC, SSO (OIDC), audit logs, SMTP.
Getting Started
Chat with Data
Ask questions, create visualizations, and run deep analysis through natural language
Instructions
Guide your AI agent with custom instructions for better, more accurate results
Data Sources
Connect any data warehouse, database, or data service to Bag of words
Dashboards
Build visual stories by combining charts, tables, and explanatory text
Context
How Bag of words constructs and manages context for every Agent run
Monitoring
Track accuracy, context quality, and agent behavior across your AI data layer
Product Overview
Chat with any data
Create reports, deep analysis or quick visuals with an AI interface powered by an agentic-loop with tools, reasoning and reflection built in.
Create and customize AI instructions and rules
Manage your AI rules and instructions with review process and control
Connect dbt, Tableau, and more for better AI context
Enrich your AI context with dbt models, Tableau data sources, AGENTS.md and your git repo
Monitor AI and data operations
Full observability into queries, feedback, and context — powering self-learning and high quality AI results