Lumi Docs
  • About Lumi AI
  • Setting Up
    • Quick Start
    • 1. Connect
    • 2. Configure
      • Configuration Tips
      • Add Tables & Fields
      • Add Business Context
      • Advanced Configuration
    • 3. Distribute
  • Using Lumi
    • Getting Started
    • Data Analysis with Lumi
      • Data Exploration
      • Business Metrics
      • Anomaly Detection
      • Trend Analysis
      • Root Cause Analysis
      • Data Quality
    • Prompting Best Practices
    • Chat Limitations
    • Best Practices for Boards
    • Curated Prompts
    • Leveraging Memories
    • Network Configuration
  • Product Features
    • Chat
    • Boards
    • Knowledge Base
      • Overview
      • Connection
      • Tables
        • Custom Fields
      • Model
      • Business Context
      • Users
    • Organization Settings
      • Organization Profile
      • Tool Integrations
      • Gateway Management
      • Members
    • User Profile
    • Data Gateway
      • Deployment
      • Configuring for Boot
    • Source System Integrations
      • PostgreSQL
      • Microsoft SQL Server
      • MySQL
      • BigQuery
      • Snowflake
      • SAP HANA
    • Secondary Interfaces
      • Slack
      • Microsoft Teams
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  • Introduction
  • How it Works

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About Lumi AI

NextQuick Start

Last updated 3 months ago

Introduction

Lumi is an enterprise analytics platform that uses a network of AI agents to empower users with the ability to instantly extract insights and generate custom reports using plain language.

By eliminating manual analytical processes, Lumi allows organizations to:

  • Boost productivity. Make better, faster data-driven decisions.

  • Uncover Hidden Value. Pinpoint operational inefficiencies and untapped potential within seconds.

  • Free up technical teams. Redirect focus from ad-hoc requests to strategic initiatives.

How it Works

In short, Lumi instantly converts plain language prompts into the code (SQL/ python) needed to extract desired insight.

  1. User asks question in plain language.

  2. The most relevant context needed to answer the question is retrieved from the knowledge base.

  3. Lumi is asked to generate the code needed to answer the question.

  4. The generated code is executed in the clients network and rendered results are sent back to the user.

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