@antirez: I was thinking about Vector Sets and the Redis approach to this stuff in general. Now that the hype with RAG is gone, I…
Summary
Salvatore Sanfilippo reflects on his earlier prediction that RAG would fade while raw vector search remains valuable, now that the RAG hype has subsided.
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This paper identifies 'vector search dilution' in RAG systems when scaling to large heterogeneous document collections, where accuracy dropped from 75% to 40% in a real-world deployment. The proposed MASDR-RAG method uses domain scoping via organizational metadata before retrieval, improving P@10 from 0.77 to 0.86 with low cost and easy deployment.
When More Documents Hurt RAG: Mitigating Vector Search Dilution with Domain-Scoped, Model-Agnostic Retrieval
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