> ## Documentation Index
> Fetch the complete documentation index at: https://docs.wayak.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Chat with your data

> Connect a data source and start asking questions in minutes

This guide walks you through connecting your first data source and having a conversation with your data. By the end, you'll have an agent answering real questions from your own databases and files.

## What you'll do

1. Connect a data source to Wayak
2. Ask the agent a question about your data
3. Explore follow-up queries and drill into results

## Step 1: Connect a data source

<Tabs>
  <Tab title="Database">
    1. Go to **Data Sources** in the Wayak dashboard
    2. Click **Add data source** and select your database type
    3. Enter your connection credentials (host, port, database, user, password)
    4. Click **Test connection** to verify
    5. Click **Connect**

    Wayak reads your schema automatically. You'll see your tables and columns listed once the connection is established.
  </Tab>

  <Tab title="File upload">
    1. Go to **Data Sources** in the Wayak dashboard
    2. Click **Add data source** and select **File upload**
    3. Drag and drop a CSV or Excel file
    4. Wayak parses the file and creates a queryable table

    <Tip>This is the fastest way to get started if you don't have a database ready. Any spreadsheet works.</Tip>
  </Tab>
</Tabs>

## Step 2: Ask your first question

Open the Wayak chat and type a question in plain language. The agent figures out which tables to query, builds the right query, and returns the answer.

Try questions like:

* "How many rows are in \[your table name]?"
* "What are the top 10 records by \[a numeric column]?"
* "Show me a breakdown of \[column A] grouped by \[column B]"

The agent responds with the answer and shows you the query it ran, so you can verify the logic.

## Step 3: Go deeper

Once you get your first answer, keep going. The agent maintains context across the conversation, so you can:

* **Drill down** — "Now filter that to just the last 30 days"
* **Compare** — "How does that compare to the previous quarter?"
* **Pivot** — "Break that down by region instead"
* **Export** — "Give me that as a table I can copy"

Each follow-up builds on the previous answer. You're having a conversation with your data, not writing one-off queries.

## What's next

You've connected data and started chatting. To get more accurate and consistent answers, define a semantic layer that teaches the agent your business logic.

<Card title="Build a semantic layer" icon="brain" href="/quickstart/build-semantic-layer">
  Teach the agent your metrics, terminology, and table relationships.
</Card>