I benchmarked 5 embedding models across 4 datasets
I benchmarked five embedding models across four NanoBEIR datasets and found that bigger embeddings did not always produce better retrieval.
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I benchmarked five embedding models across four NanoBEIR datasets and found that bigger embeddings did not always produce better retrieval.
Bi-encoders make retrieval fast, but cross-encoders expose why reranking matters when meaning depends on the query.