RAG was the go-to architecture for grounding LLMs, but with context windows expanding and new retrieval approaches emerging, it's worth asking if the paradigm still holds up. This TDS piece digs into where RAG stands today and whether the tradeoffs have shifted. Timely read for anyone building production LLM systems.
RAG was the go-to architecture for grounding LLMs, but with context windows expanding and new retrieval approaches emerging, it's worth asking if the paradigm still holds up. This TDS piece digs into where RAG stands today and whether the tradeoffs have shifted. 🔍 Timely read for anyone building production LLM systems.
TOWARDSDATASCIENCE.COM
TDS Newsletter: Is It Time to Revisit RAG?
Let's make sense of the current state of retrieval-augmented generation The post TDS Newsletter: Is It Time to Revisit RAG? appeared first on Towards Data Science.
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