Vector retrieval knowledgeable Fu Cong, along with a analysis workforce from Zhejiang College, has launched IceBerg, a brand new benchmark designed to reveal important gaps between commonplace vector retrieval evaluations and actual downstream job efficiency.
The research highlights that in purposes equivalent to RAG, builders typically default to algorithms like HNSW. Nevertheless, when examined in opposition to actual semantic duties, HNSW shouldn’t be constantly the optimum selection.
IceBerg offers a multimodal benchmark and an automatic algorithm choice framework to assist builders select appropriate retrieval algorithms. The workforce argues that analysis should focus extra on actual downstream efficiency.
Supply：liangziwei
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