Documentation Index
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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 |