Selecting the right technology for structured data preparation for LLMs and the right LLM to deploy on your data can be a daunting task. Businesses often struggle to identify a solution that balances accuracy, governance, ease of integration, and cost efficiency.
In this whitepaper, we explore Retrieval Augmented Generation (RAG), a popular architecture for customizing LLMs for organizational data, and examine how it compares with the Generative Semantic Fabric (GSF) solution.
Discover how to navigate the complexities of GenAI and agentic analytics implementation with ease.
What You’ll Learn:
- Gain a deeper understanding of the RAG approach
- Discover the Generative Semantic Fabric (GSF) solution
- Compare specific characteristics side-by-side, including maintenance, truth reliability, governance, and more
- View clear visualizations of how these architectures operate
