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    • Welcome to Julius
    • What is Julius AI?
    • Getting Started
    • Understanding the Chat Interface
    • How to Create an Effective Prompt
    • Types of Data Visualizations You Can Make with Julius
    • Creating Custom Visualizations on Julius
    • Data Cleaning Basics
    • Language Output and Custom Instructions
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    • Using MCPs with Data Connector
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    • Setup PostgreSQL
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    • Customize your Data Connections
    • Data Connectors Error Log
    • MCP Frequently Asked Questions
    Teams
    • Overview
    • Setting Up a Team
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    • Building a Notebook
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    • Julius How-To Hub
    • Overview
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    • Managing Your Account
    • Troubleshooting
    • How to whitelist Julius IP address for your database connection
    • Frequently Asked Questions
    • How to Create an Effective Prompt
    • Creating Custom Visualizations on Julius
    • Data Cleaning Basics
    • Language Output and Custom Instructions
    • Setup PostgreSQL
    • Setup BigQuery
    • Setup Snowflake
    • Customize your Data Connections
    • Building a Notebook
    • Support
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    Overview

    Julius is an AI assistant designed for statistical analysis, data science, and computations. Julius uses various large language models (LLMs), finding the best one for each task, and writes code to analyze your data based on your prompt. The end result is an intuitive way to analyze and visualize data without having to code, making statistical analysis accessible to everyone.

    Getting Started

    Learn how to upload data and start analyzing with Julius in minutes.

    Plans, Billing & Payment

    Everything you need to know about subscription tiers, billing cycles, and invoices.

    Settings

    Manage your account preferences, workspace settings, and user permissions.

    Troubleshooting

    Run into issues? Here’s how to solve common problems and get help quickly.
    We are actively rebuilding and updating our documentation. If you have any feedback, comments, or ideas of things we should document, reach out to team@julius.ai!

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