Welcome EmbeddingGemma, Google's new efficient embedding model

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.

New embedding models and API updates

🪆 Introduction to Matryoshka Embedding Models

Getting Started With Embeddings

Train 400x faster Static Embedding Models with Sentence Transformers

Train a Sentence Embedding Model with 1B Training Pairs

Training and Finetuning Embedding Models with Sentence Transformers

Training and Finetuning Multi-Vector Embedding Models with Sentence Transformers

Multi-modal Knowledge Preserving Adapter for Embedding Backward Compatibility

Upgrading embedding models typically requires expensive database re-indexing, as new query embeddings are incompatible with existing database embeddings. While Backward Compatible Training (BCT) mitig...

Training and Finetuning Sparse Embedding Models with Sentence Transformers

Build a Domain-Specific Embedding Model in Under a Day

MTEB: Massive Text Embedding Benchmark