Train a Sentence Embedding Model with 1B Training Pairs

Training and Finetuning Embedding Models with Sentence Transformers

Train 400x faster Static Embedding Models with Sentence Transformers

Training and Finetuning Sparse Embedding Models with Sentence Transformers

Training and Finetuning Multimodal Embedding & Reranker Models with Sentence Transformers

Train and Fine-Tune Sentence Transformers Models

Multi-Vector (Late Interaction) Embedding Models with Sentence Transformers

Training and Finetuning Reranker Models with Sentence Transformers

Multimodal Embedding & Reranker Models with Sentence Transformers

Efficient training of language models to fill in the middle

Welcome EmbeddingGemma, Google's new efficient embedding model

Task-Conditional Flow Matching for Balanced Multilingual Text Embedding Adaptation

arXiv:2608. 05785v1 Announce Type: cross Abstract: Multilingual text embedding models are commonly adapted using a single training objective across diverse tasks, despite different tasks requiring fundamentally different optimization strategies.

New and improved embedding model

We are excited to announce a new embedding model which is significantly more capable, cost effective, and simpler to use.