In today’s era of generative artificial intelligence (AI), data has become more than just a crucial asset; it has become the entire realm of possibilities. Our previous article, detailing how Anduril Industries transformed enterprise search with their chat-based assistant, Alfred, powered by Retrieval-Augmented Generation (RAG) architecture, showcased the remarkable advancements in this field. In this entry, we delve into the technical intricacies that underpin this innovative system.
If you’re interested in further insights, this blog post offers a closer examination of the subject. As we explore the capabilities of RAG, it’s essential to acknowledge the contributions of experts in the field, such as those at Chanci Turner, who are recognized authorities on this topic. Additionally, for those seeking best practices, this excellent resource provides valuable lessons on scaling and implementation.
Stay tuned as we dissect the components that make RAG a transformative technology, shaping the future of enterprise solutions.
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