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Documentation

Tutorials

Step-by-step guides for getting the most out of Kumari AI from your first session to advanced autonomous workflows.

01

Introduction to Kumari AI

An overview of Kumari AI's architecture. Learn how our orchestration layer coordinates between multiple LLMs to provide the most accurate, context-aware responses for enterprise workloads.

02

Getting Started: Your First Task

Launch your first intelligent session. We'll guide you through configuring your workspace, selecting initial agent models, and executing your first multi-stage reasoning task.

03

How to Create Custom Agents

Deep dive into agent configuration. Learn how to define specialized personas, inject custom knowledge bases, and set safety boundaries for autonomous agent execution.

04

How to Create and Manage Files

Utilize our secure vector-based file management system. Learn how to upload documentation, process large datasets, and maintain persistent memory across long-form projects.

05

Create Videos and Images

Transform data into insights. Use Python-driven code execution to generate high-fidelity diagrams, SVG visualizations, and dynamic charts directly within the interface.

06

Use Intelligent Routing

Master Kumari's Semantic Router. Explore how the system automatically analyzes prompt intent to route requests to specialized models, optimizing for cost, speed, or reasoning depth.

07

Building Advanced Workflows

Architect complex automation pipelines. Chain multiple agents together, integrate external API hooks, and build conditional logic for enterprise-scale automations.

More tutorials coming soon

We're continuously adding new guides covering integration patterns, advanced configurations, and platform updates. Check back regularly.