The core engine seamlessly moves data between traditional tables (rows and columns) and graph-based data structures. During this process, it performs data transformations and calculations that help optimise datasets for high-performance analytics and retrieval-augmented generation (RAG) AI*.

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The Base Engine adds rich metadata enabling:

• Robust error control and disaster recovery

• Proactive quality management

• A clear data dictionary showing the origin and destinations of the data 

• Visibility of key governance parameters such as sensitivity, reliability, and security details.

*RAG enhances the accuracy of Large Language Models (LLMs), making generative AI responses more precise. This capability is built into datawave i3 as standard.