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

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

Concentration bounds on response-based vector embeddings of black-box generative models

arXiv:2511. 08307v2 Announce Type: replace-cross Abstract: Generative models, such as large language models or text-to-image diffusion models, can generate relevant responses to user-given queries.