google-embeddings

#google-embeddings

Benchmarking Google Embeddings 2 against Open-Source Models for Multilingual Dense Retrieval and RAG Systems

arXiv cs.CL ↗ · 2026-05-25 Cached

This paper benchmarks Google Embeddings 2 against five open-source models for multilingual dense retrieval and RAG, finding GE2 top in accuracy but slower, with mE5-L as a competitive low-latency alternative.

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google-embeddings

Benchmarking Google Embeddings 2 against Open-Source Models for Multilingual Dense Retrieval and RAG Systems

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