On overview of how SGP’s Agent Building Framework.
Welcome to the introductory guide for Agent Service. This document is designed for engineers who are new to Agent Service and want to learn how to build GenAI agents using our framework. Agent Service provides the backend for SGP applications, enabling the creation, deployment, and execution of powerful AI solutions based on Large Language Models (LLMs) and other AI models.
Agent Service is a software framework that provides a set of modular building blocks that make it easy to create, deploy, and run AI applications. These applications can perform a variety of tasks, including:
Document Analysis
Chatbot Responses
Custom AI Solutions
While Agent Service is primarily designed to support LLM-based applications, it can also accommodate other types of models (for example, multi-modal LLMs) on an ad-hoc basis.
Modular Design:
Build applications using pre-configured components that can be combined like Lego blocks.
Flexible Architecture:
Support both simple, linear workflows and complex, interactive applications with ease.
Seamless Integration with SGP:
Easily integrate with existing SGP tools and APIs for functionalities such as information retrieval and text generation.