High Level Overview
Last updated
Last updated
The Great Wave AI Platform adheres to the emerging GenAIOps framework (learn more at ) 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":
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 and Fusion Agents to create workflows to satisfy complex Enterprise use cases.
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.
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.
