Fine-Tuning Embedding Models for Retrieval: Contrastive Loss, Hard Negatives and Matryoshka (2026)
Fine-Tune Embedding Model for Retrieval: Contrastive Loss, Hard Negatives and Matryoshka (2026) Most retrieval-augmented generation systems start with a general-purpose embedding model and a vector index, and most of them…