Build a Domain-Specific Embedding Model in Under a Day

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

Welcome EmbeddingGemma, Google's new efficient embedding model

Getting Started With Embeddings

QuITE: Query-Based Irregular Time Series Embedding

arXiv:2605. 28166v3 Announce Type: replace-cross Abstract: Irregular Multivariate Time Series (IMTS) are common in practice, yet their irregular sampling complicates effective modeling.

Deploy Embedding Models with Hugging Face Inference Endpoints

Recovering Temporal and Geographic Signals from Language Model Embeddings

arXiv:2609.05721v1 Announce Type: new Abstract: Understanding whether language-model embeddings encode structured real-world information is important for both representation analysis and information...

Train a Sentence Embedding Model with 1B Training Pairs

🪆 Introduction to Matryoshka Embedding Models

XLSCOUT Unveils ParaEmbed 2.0: a Powerful Embedding Model Tailored for Patents and IP with Expert Support from Hugging Face

Train 400x faster Static Embedding Models with Sentence Transformers

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