Skip to main content
The nao chat interface provides an intuitive way for your team to interact with data using natural language.

​
Start Chat

You can access the chat interface in two ways:

​
Option 1: Using nao chat command

This will start a local server at http://localhost:5005.

​
Option 2: Using Docker

Run the Docker container to access the UI: With built-in example:
With your project:
Access the UI at http://localhost:5005.
nao Chat Interface
The chat interface runs locally on your machine. No data is sent to external servers unless you configure an external LLM provider.

​
Ask Questions

Question Input
  • Type your question in natural language
  • Reference previous results in follow-up questions
Response Display The agent’s response includes:
  • Answer: Plain language summary of findings
  • SQL Query: The generated query (expandable)
  • Data Table: Results in table format
  • Visualizations: Automatic charts when appropriate
  • Sources: Which context files were used

​
Tool call density

By default the agent shows its work in detail: SQL queries, Python, and sandbox executions each render as their own block in the thread, alongside charts and stories. If that is more than you want to read, change it from Settings -> Account -> General Settings -> Tool Call Density. The slider has two positions:
  • Detailed (default) - SQL, Python, and sandboxed code executions are shown as individual expandable blocks.
  • Compact - those steps are folded into a single collapsed group you can expand on demand. Charts, stories, clarifications, and follow-up suggestions stay visible either way.
The setting is per user and follows you across devices.

​
Give Feedbacks

Each response has:
  • 👍 Thumbs up - Mark good responses
  • 👎 Thumbs down - Flag issues
These responses given by your users are stored and accessible for you to audit. What’s Next?

Chat Capabilities

Explore all chat features and agent tools

Slack Bot

Set up Slack integration for your team