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sqlbot

v0.0.52

Published

Talk to your databases in natural language. AI-powered SQL assistant with support for PostgreSQL, MySQL, SQLite, and more.

Downloads

3,321

Vulnerabilities

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Links

Git

Maintainers

notshekharnotshekhar

Keywords

sqldatabaseaichatbotpostgresqlmysqlsqlitetext-to-sqlnatural-languagequerycsvoboe.chatoboe ai

Readme

sqlbot ⚡

Talk to your databases in natural language. An AI-powered SQL assistant with support for PostgreSQL, MySQL, SQLite, and more.

Installation

Install sqlbot globally via npm:

npm install -g sqlbot

Usage

To start sqlbot, simply run:

sqlbot

This will start the local server and automatically open the application in your browser at http://localhost:1121.

CLI Options

| Option | Description | | :--- | :--- | | -p, --port <port> | Port to listen on (default: 1121) | | -H, --hostname <host> | Hostname to bind to (default: 0.0.0.0) | | --no-open | Don't open browser automatically | | -v, --version | Show version | | -h, --help | Show help message |

Example:

sqlbot --port 3005 --no-open

Configuration

1. AI Provider Setup

To use AI for SQL generation and chat, you need to configure an AI provider:

  1. Open sqlbot in your browser.
  2. Navigate to AI Providers (or visit /ai-providers).
  3. Click Add Provider.
  4. Choose between Google AI (Gemini), Groq, or OpenAI.
  5. Enter your API key and save.
  6. Restart sqlbot for the changes to take effect.

[!NOTE]
Your API keys are stored securely in ~/.sqlbot/ai-providers.json.

2. Database Connections

Connect your databases to start querying in natural language:

  1. Navigate to Connections (or visit /connections).
  2. Click Add Connection.
  3. Select your database type (PostgreSQL, MySQL, SQLite, etc.) and enter the connection details.
  4. Once connected, sqlbot will index your schema to provide accurate SQL generation.

Features

  • Natural Language to SQL: Just ask your database questions in plain English.
  • Smart Charting: Automatically generates charts and visualizations from your data.
  • Multi-DB Support: Works with PostgreSQL, MySQL, SQLite, and more.
  • Local & Private: Your connection strings and API keys stay on your machine.