How to make data “AI-ready”?
Read OriginalThis article provides a detailed look at how to make data 'AI-ready' for Generative AI services using Retrieval-Augmented Generation (RAG). It explains the RAG process, the importance of data preparation like embedding and chunking, and how to build a data pipeline. It also covers the role of vector stores and orchestrators in querying data effectively.
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