Data Substrate Versus Vector Db Rag

Automated excerpt

In the world of AI-powered applications, the distinction between a data substrate and a vector database is often blurred. A data substrate is a versioned, citable, and queryable layer of structured and unstructured data that serves as a reference for AI systems. A data substrate, however, can link the AI’s decision to specific, versioned data entries - making the system both compliant and explainable. But once the relevant data is retrieved, it’s moved into the data substrate for versioning and governance. Maintaining a data substrate adds complexity and overhead compared to a pure vector DB approach.

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