#vector search

Search is the highest-intent interaction a user can have with your application. When someone types a query, they are telling you exactly what they need — and how well your system responds determines whether they find it or leave frustrated. Traditional keyword search, built on exact string matching, fails silently and often: a user searching “can’t log in” finds nothing because the help article…

– What is MUVERA? Google Research has unveiled a groundbreaking technique called MUVERA, designed to dramatically accelerate the speed of multi-vector retrieval. Traditionally, searching through large collections of vectors – often used in similarity searches and recommendation systems – has been significantly slower than traditional single-vector search methods. This disparity stems from the…

HyDE : Hypothetical Document Embeddings | Precise Zero-Shot Dense Retrieval without Relevance Labels

Au lieu d'encoder la requête de l'utilisateur pour récupérer les documents pertinents, générez une réponse "hypothétique" et encodez-la. Les documents avec de bonnes réponses ressemblent plus à de mauvaises réponses qu'à des questions.