Question 1

What is nao Agent?

Accepted Answer

nao is a framework to build and deploy analytics agent. Create the context of your analytics agent with nao-core cli: data, metadata, modeling, rules, etc. Deploy a UI for anyone to chat with your agent and run analytics on your data.

Question 2

How do I deploy nao Agent?

Accepted Answer

The easiest way to deploy nao Agent is to use the official Docker image from Docker Hub. Pull and run getnao/nao and follow the self-hosting overview to configure your project path, environment variables, and deployment options. You can also explore the nao GitHub repository for more advanced setups.

Question 3

Which data warehouses and tools does nao Agent work with?

Accepted Answer

nao Agent is data-stack agnostic. It can connect to warehouses like Snowflake, BigQuery, Postgres, Databricks, DuckDB, MotherDuck, Athena, and Redshift, and it can use your existing analytics stack (like dbt and BI tools) as context.

Question 4

Is nao Agent secure and can I self-host it?

Accepted Answer

Yes. nao Agent is designed to be self-hosted so your data never has to leave your environment. You connect your own warehouse and your own LLM keys, and you stay in control of where the agent runs and what data it can access.

Question 5

Who is nao Agent for inside my company?

Accepted Answer

nao Agent combines powerful tooling for data teams with an easy chat UI for business users. Data teams get an open, self-hosted context builder that works with any warehouse and lets them test and monitor agent reliability over time. Business users get natural-language analytics with built-in charts, transparent reasoning, and simple feedback so answers keep improving.

Pricing

Free

Custom