# High Level Overview

## Platform Overview

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The Great Wave AI Platform adheres to the emerging GenAIOps framework (learn more at [https://genaiops.ai](https://genaiops.ai/)) and is designed to tackle common challenges in GenAI adoption, including:

* Data location
* Hallucination
* Cost
* Environmental challenges
* Performance
* Monitoring and evaluation
* Quality
* Integration
* Context

Central to the platform are two key Domains "Agents" and "Data":

<figure><img src="/files/EaSUns5z8fwMBljNUkUn" alt=""><figcaption></figcaption></figure>

## Agent Domain

Each Agent embodies a specific use case. Depending on the use case, each Agent may have slightly different needs in terms of security, sustainability, performance, observability, capability, and context. For instance a customer service Agent is likely to need to respond quickly and accurately over a small corpus of contextual data in order to provide a good service to customers.

We address these challenges by creating hyper-specific Agents that can also communicate with each other. The diagram below illustrates this approach. challenge and create hyper specific agents, which can also talk to one and other. Depicted below

Agents can also be linked together in a multi agent framework using **Sequence**, **Fusion** and **Orchestrator** Agents to create workflows to satisfy complex Enterprise use cases.

<figure><img src="/files/FJ3IZbD98tlhwfNq4TCi" alt=""><figcaption></figcaption></figure>

## Knowledge Domain

Most Enterprise AI Agent use cases require access to organizational data. The Knowledge component enables you to create multiple **Collections**, allowing you to organize your data in a way that best suits your needs. **Documents** can be uploaded via the Studio an API (refer to the Integration module for more details). Once uploaded, you can create **Indexes** from these documents and assign them to specific agents for optimized use.

## Great Wave AI Studio

All these functionalities are housed within the Great Wave AI Studio, a user-friendly, no-code environment where users can easily build, configure, and manage generative AI agents. This environment empowers users to harness the power of AI without the need for extensive programming knowledge, facilitating a broader adoption of AI across various industries.


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