Understanding Retrieval-Augmented Generation (RAG) on Google Cloud Platform (GCP)
Xebia
DECEMBER 13, 2024
Retrieval-Augmented Generation (RAG) is a key technique powering more broad and trustworthy application of large language models (LLMs). By integrating external knowledge sources, RAG addresses limitations of LLMs, such as outdated knowledge and hallucinated responses. In this webinar , Je roen Ov erschie , a M achine L earning E ngineer at Xebia Data, expl ains how RAG works by going through four different levels of complexity.
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