Katara
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  • Getting Started
    • 👋Welcome to Katara
    • 👨‍🔬Use Cases
    • ⚙️How does it work?
      • 🧱Large Language Models
      • ➡️RAGs - Extending AI context
      • 🏛️Diataxis Framework
      • 🔧Agents and Workflows
      • 🧑‍🤝‍🧑People at the helm
    • 📁Data Collection and Usage Policy
  • Organizations
    • ⚡Quickstart
    • ⚒️Manage Your Organization
  • Agents
    • 💻What is an agent?
    • Q&A
    • Website
    • GitHub
    • Discord
    • Telegram
    • Slack
    • Taxonomy
    • Website Widget
  • Workflows
    • What is a Workflow?
    • 📊Community Analytics
    • 📈Content Improvement with Gap Analysis
    • 📄Adopt Diataxis
    • ❓Community Support
  • Corpuses
    • 📑What is a Corpus?
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  1. Getting Started

How does it work?

In Katara, agents, workflows, and human oversight work together to create a powerful, flexible system for handling a wide range of tasks with precision and adaptability. Agents are specialized components built on large language models (LLMs), empowered by RAG (Retrieval-Augmented Generation) to pull in up-to-date, domain-specific information. These agents handle individual tasks within a broader workflow.

Workflows connect these agents into structured, multi-step processes that automate complex actions and interactions. For example, in a support workflow, one agent might respond to basic queries while another escalates specific cases, each performing a distinct role within the sequence.

Human oversight remains central, ensuring quality and contextual accuracy, handling unexpected scenarios, and providing feedback that helps agents improve over time. This combination of automated intelligence, organized workflows, and human guidance makes Katara AI an adaptable, scalable solution that can handle both routine and complex challenges with reliability and depth.

PreviousUse CasesNextLarge Language Models

Last updated 6 months ago

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