Retrieval-Augmented Generation (RAG) equips AI systems with real-time data access, enhancing response accuracy and relevance, but requires personalized approaches for effective implementation.
RAG is like giving a smartphone with the latest info to someone relying on outdated knowledge; it transforms generative AI by reducing errors and enhancing responses through real-time data integration.
[
Collection
]
[
|
...
]