Unlock next-level RAG performance with Jina v4, the embedding model designed for precision, efficiency, and complex data ...

UCLA researchers have developed an AI system that turns fragmented electronic health records (EHR) normally in tables into ...

Alibaba unveils new open-source AI embedding models, a field it leads globally The Chinese tech giant ranks top on Hugging Face’s benchmark for measuring the performance of text-embedding services ...

The Qwen3-Embedding series supports over 100 languages, including various programming languages, and provides robust multilingual, cross-lingual, and code retrieval capabilities. The models are ...

The series, which includes models designed for text embedding, retrieval, and reranking tasks, supports 119 languages and is available in 0.6B, 4B, and 8B versions.

Finally, a built-in rich text editor Rich text has been one of SwiftUI’s biggest blind spots. It has had display-side rich text for a while, but nothing for input.

SAN FRANCISCO, April 3, 2024 — Elastic, the company behind Elasticsearch, today announced the Elasticsearch open Inference API now supports Cohere ’s text embedding models. This includes Elasticsearch ...

The latter generate vectors whose size depends on the length of the input text. A third approach combines the two to vectorise short extracts or comments (Splade, ColBERT, IBM sparse-embedding-30M).

Gemini Embedding also expands multilingual support, now covering over 100 languages. This doubles the coverage of Google’s previous text embedding models. The model performs well across multiple ...

Google on Friday added a new, experimental “embedding” model for text, Gemini Embedding, to its Gemini developer API. Embedding models translate text inputs like words and phrases into ...

Google claims that Gemini Embedding surpasses the performance of its previous state-of-the-art embedding model, text-embedding-004, and achieves competitive performance on popular embedding ...