nao - Natural Language Queries on Data Warehouses
Open-source analytics agent builder for context-engineered AI data exploration
What is Nao?
nao is an open-source analytics agent builder that enables teams to deploy AI-powered data exploration without coding. It works by organizing your data context - warehouse schemas, metrics, documentation, and rules - in a file system structure, then uses Claude to answer natural language questions about your data. Built for data teams, analysts, and business users who need instant analytics access without SQL knowledge.
Key Features of Nao
- File system-based context organization
- Multi-database support (BigQuery, etc.)
- Automatic context synchronization from dbt, Looker, Notion
- Context reliability testing and monitoring
- Natural language to SQL translation
- Deployable chat UI
- Multi-channel deployment (Slack, Teams, WhatsApp, Telegram, Claude, Cursor)
- Self-hosting with your own LLM keys
- Context engineering optimization
- Unit testing for question-to-SQL accuracy
Who Should Use Nao?
Enable non-technical users to query data in plain English
Automatize analytics exploration with AI agents
Monitor agent reliability and context performance
Deploy analytics across team communication tools
Self-host analytics with data governance control
Reduce SQL query writing overhead for data teams
Nao: Pros & Cons
✓Pros
- 100% open source
- Context engineering approach improves reliability
- Supports multiple data sources and repositories
- Flexible deployment options (cloud or self-hosted)
- Integration with existing tools (dbt, Looker, Notion)
- Context testing provides measurable reliability metrics
- Multi-channel deployment capability
Frequently Asked Questions about Nao
Does nao support data warehouses other than BigQuery?
The documentation mentions BigQuery specifically, but nao is built to support multiple databases. Check the repository or documentation for the current list of supported warehouses before connecting your primary data source.
Can I deploy nao to Slack, Teams, and other chat platforms at the same time?
Yes. nao supports multi-channel deployment across Slack, Teams, WhatsApp, Telegram, and Claude, so you can run the same analytics agent in multiple team communication tools simultaneously.
How does nao test whether its context actually improves query accuracy?
Nao includes context reliability testing and unit testing for question-to-SQL accuracy, so you can measure whether your organized schemas, metrics, and documentation are actually helping the agent return correct results. This testing happens before you deploy to your team.
Can I run nao with my own LLM instead of relying on Anthropic's Claude?
Nao supports self-hosting with your own LLM keys, giving you control over which model processes queries and where your data context lives. This setup is intended for teams with data governance requirements.
Nao vs. Top Alternatives
Compare Nao with similar tools in the same category.
| Tool | Tagline | Pricing |
|---|---|---|
Nnao - Natural Language Queries on Data WarehousesThis tool | Open-source analytics agent builder for context-engineered AI data exploration | Free |
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 TraeWork | ByteDance's AI-native workspace: describe a task in plain language, or code professionally in Code mode. | Free |
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 Moxo | AI workflow automation where people, AI agents, and systems run business processes together | Free |
 Pulse AI - Chatbots Running on Your Servers | Private AI chatbots hosted on your servers, zero cloud exposure. | Free |
Tool Details
- Company
- Nao Labs
- Pricing
- Free
- Category
- Ai Agents Tools
- Added
- Jun 2026
- Last Updated
- Jul 2026
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