The Ins and Outs of Retrieval-Augmented Generation (RAG)

When accessible large language models first came on the scene, the excitement was impossible to miss: beyond their sheer novelty, they came with the promise to completely transform numerous fields and lines of work.

Almost a year after the launch of ChatGPT, we’re far more aware of LLMs’ limitations, and of the challenges we face when we try to integrate them into real-world products. We’ve also, by now, come up with powerful strategies to complement and enhance LLMs’ potential; among …

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