Key Features
Natural Language Queries
Ask questions in plain English and get actionable answers.
Data Visualization
Automatically generate charts and visual explanations from query results.
Transparent Reasoning
Inspect the SQL and logic behind each answer.
Conversation History
Continue previous analyses with full chat history.
Speak to Prompt
Dictate a question with your microphone and send the transcribed prompt.
Memory
Preserve user-level preferences across conversations.
How It Works
When you ask a question, the agent follows this flow:1
Context Discovery
The agent searches and reads your context files to understand your data model, definitions, and rules.
2
Query Generation
It composes SQL based on the available context and your question.
3
Execution
The query runs against connected data sources and returns results.
4
Visualization
If useful, the agent renders charts from the result set.
5
Response
The agent summarizes findings in plain language with supporting evidence.
Speak To Prompt
From the chat input:- Click the microphone icon.
- Grant microphone access when prompted.
- Speak your request.
- Review or edit the transcription, then send it.
Context Management
The agent grounds answers in project context, including:- Context files and business definitions synced into your project.
- Rules and instructions that shape generation behavior.
- Data source metadata and available schema information.
Visualizations and Image Input
The chat UI can render charts directly from agent query results. Supported chart types include:- Bar charts
- Line charts
- Pie charts
- Area charts
- Stacked area charts
- Scatter charts
- Radar charts
100K, 1.5M, or 2B to keep charts readable.
View the SQL and data behind a chart
Every chart the agent renders is backed by a SQL query and its result set. Click the View SQL query and data action (the <> icon) on the chart toolbar to open a side panel showing the SQL query on top and the result table below, so you can verify exactly how a chart was built.
Image input
You can attach images directly in the chat input when you want the agent to inspect a screenshot, dashboard, chart, or UI state. The agent treats images as part of the conversation - it can describe them, transcribe text out of them, compare them to data, or use them to disambiguate a question (“the spike in this chart”). How to attach an image There are three ways to add images to a message:- Click the
+menu in the chat input and pick Upload image. - Drag an image file from your desktop into the chat input - the input shows a highlighted drop zone while you drag.
- Paste an image directly from your clipboard (e.g. after
cmd+shift+4on macOS or a snipping tool on Windows). The paste handler is scoped to the chat input so pasting elsewhere on the page still works normally.
X on any thumbnail to remove it before sending.
Supported formats and limits
- Formats:
image/png,image/jpeg,image/gif,image/webp. - Up to 4 images per message.
- Up to 5 MB per image.
Esc, the X button, or by clicking outside.
Images are stored against your project and served from a stable URL, so they keep rendering inside the chat history and any story or shared link the conversation feeds into.
Editing, resending, and message versions
Hover over any of your sent messages to reveal a toolbar with actions and a relative timestamp (e.g.8m ago, with the full date and time in a tooltip).
- Resend - the resend button (circular-arrow icon) re-runs the same prompt as-is, superseding the conversation from that turn onward.
- Edit - change the prompt text and resend it to branch the conversation from that point.
‹ i/n › control appears next to the action icons. Use it to navigate the history of superseded versions and restore any of them as the active branch - the message and the answer below it update together.
Sharing and forking chats
Every chat can be shared with your project or with specific people from the share icon in the chat header. Recipients can:- Continue chat - open a new forked chat that contains the full shared history. Each fork is independent, so the original is never modified.
- Ask about a selection - highlight any text in the chat and click the Ask button that appears above the selection. The quoted text becomes a pending citation in the input, and once sent, the answer keeps a Go to original selection link back to the source passage.
Managing Your Chat History
Your chat list lives in the left sidebar, sorted by most recent activity (last updated first). The list shows the 10 most recent chats by default; click Show more to expand the full list and Show less to collapse it again. Group and filter Use the filter menu at the top of the chat list to organize conversations:- Group by stars, date, project, ownership, or none.
- Filter the visible chats with the search box to narrow the list to matching titles.
- Star the chats you want to keep so they’re always preserved.
- Open Settings -> General -> Danger Zone and click Delete all non-starred chats to bulk-clear everything you haven’t starred.
Tool call density
Control how much detail the chat shows for the agent’s tool calls (SQL queries, sandbox runs, and similar steps). Set it from Settings -> Account:- Detailed - tool calls are expanded inline so you can read the SQL and intermediate steps as the agent works.
- Compact - tool calls are collapsed into a compact group, keeping the conversation focused on the answer. Expand any step when you want the detail.
Query Guardrails
For BigQuery connections, nao can enforce a maximum query size in GB before the agent runs SQL. When configured, nao performs a dry run first:- Queries under the limit execute normally
- Queries over the limit are blocked before BigQuery scans the data