Introduction

This content is currently WIP. Diagrams, content, and structure are subject to change.

Introduction

The C3 AI GenAI application provides enterprise-grade generative AI capabilities that can be integrated into existing business processes and applications. By leveraging large language models (LLMs), vector databases, and advanced retrieval techniques, the application enables organizations to build powerful AI assistants, knowledge bases, and intelligent automation solutions.

Key Features in Version 8.8

• Advanced Retrieval-Augmented Generation (RAG): Enhanced context retrieval for more accurate responses
• Multi-Modal Support: Process and generate text, images, and structured data
• Enterprise Security Controls: Fine-grained access controls and content moderation
• Customizable UI Components: Easily embeddable chat interfaces and document explorers
• Comprehensive Prompt Management: Version control and testing for prompts
• Model Performance Analytics: Detailed metrics on usage, latency, and quality

Key GenAI Terms

Term	Definition
Large Language Model (LLM)	AI model trained on vast amounts of text data that can generate human-like text
Embedding	Vector representation of text that captures semantic meaning
Vector Database	Specialized database for storing and querying vector embeddings
Retrieval-Augmented Generation	Technique that enhances LLM outputs by retrieving relevant context
Prompt Engineering	Process of designing effective prompts to guide LLM behavior
Fine-tuning	Process of adapting a pre-trained model to specific tasks or domains

Getting Started

To get started with the C3 AI GenAI application, see the following sections:

• Data Model Overview
• Setting Up a Test App
• Application Logic