Google's new multi-vector retrieval algorithm (MUVERA) improves search speed and performs better on complex queries. It addresses limitations of previous multi-vector systems like ColBERT and could be a successor to Google’s RankEmbed technology. SEOs should focus on aligning with query context and intent rather than exact keyword matching.
A Google engineer's testimony shows how page quality is scored and confirms the existence of a popularity signal that uses Chrome data.
The release of WordLlama on Hugging Face marks a pivotal moment in natural language processing (NLP). This advanced language model is designed to offer developers, researchers, and businesses a highly efficient and accessible tool for various NLP applications.
Learn how indexing, algorithms, deep learning systems, human raters, click and query data, and more shape Google's Search results.
