Sentence Transformers is a Python library for using and training embedding models for a wide range of applications, such as retrieval augmented generation, semantic search, semantic textual similarity, paraphrase mining, and more. In this blogpost, I’ll show you how to use it to finetune Sentence Transformer models to improve their performance on specific tasks. You can also use this method to train new Sentence Transformer models from scratch. Finetuning Sentence Transformers involves several components, including datasets, loss functions, training arguments, […]

Sentence Transformers is a Python library for using and training embedding and reranker models for a wide range of applications, such as retrieval augmented generation, semantic search, semantic textual similarity, paraphrase mining, and more. In this blogpost, I’ll show you how to use it to finetune a reranker model (also known as a cross-encoder) that beats all existing options on exactly your data. This method can also train extremely strong new reranker models from scratch. Finetuning reranker models involves several […]

Sentence Transformers is a Python library for using and training dense embedding, reranker (cross encoder), and sparse embedding models for a wide range of applications, such as retrieval augmented generation, semantic search, semantic textual similarity, paraphrase mining, and more. In this blogpost, I’ll show you how to use it to finetune a sparse encoder/embedding model and explain why you might want to do so. This results in sparse-encoder/example-inference-free-splade-distilbert-base-uncased-nq, a cheap model that works especially well in hybrid search or retrieve […]

We built one of the most powerful computer-use AIs in the world. And made it directly accessible from your browser. On March 31st, we released Holo3, our most advanced computer-use model to date. Building something powerful is one thing; making it accessible and easy to use is another. We’re doing both. HoloTab is a Chrome extension that navigates the web just like a person would. It automates tasks across any website with zero setup or technical skills required. You describe […]

VAKRA Dataset | LeaderBoard | Release Blog | GitHub | Submit to Leaderboard We recently introduced VAKRA, a tool-grounded, executable benchmark for evaluating how well AI agents reason and act in enterprise-like environments. Unlike traditional benchmarks that test isolated skills, VAKRA measures compositional reasoning across APIs and documents, using full execution traces to assess whether agents can reliably complete multi-step workflows. VAKRA provides an executable environment where agents interact with over 8,000+ locally hosted APIs backed by real databases spanning […]