Why isn't RAG's accuracy improving?
Rethinking the use of generative AI from the perspective of "data quality"

What's needed to make AI usable for work? (Includes a checklist)

To get the expected answer from a generating AI

As the business applications of generative AI advance, many companies are facing the challenge of not achieving a level of accuracy suitable for business use, even after implementing RAG (Resource Aggregation) that utilizes internal data.

This e-book focuses on "data preparation," which is crucial for the accuracy of generative AI (especially RAG), explaining its importance and providing concrete methods for implementing it.

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