As enterprises seek innovative ways to leverage AI for data access and insights, retrieval-augmented generation (RAG) has emerged as a powerful tool. Initially popularized by ChatGPT’s conversational capabilities, RAG uses an advanced approach to data retrieval and generation that seamlessly integrates into complex enterprise workflows.
This report explores the expansive potential of RAG for enterprise applications and provides technology leaders perspectives to inform their implementation strategies.
