The DiskANN repository currently contains five different filtered search algorithms, in branches, pull requests, and the main repository. The purpose of this page is to present an experimental ...

Retrieval-augmented generation (RAG) has become the de facto standard for grounding large language models (LLMs) in private data. The standard architecture — chunking documents, embedding them into a ...

Search engines have evolved significantly from basic keyword matching to intelligent systems leveraging artificial intelligence (AI). This transformation prompts an important question: when it comes ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Abstract: Approximate nearest neighbor search (ANNS) is the key operation in vector databases. Graph-based ANNS algorithms are among the best-performing and most used methods on CPUs. However, the ...

A search problem refers to the task of finding a solution within some space of possible options, and that space could be made up of discrete steps or continuously varying values. For example, solving ...

Nearest neighbor search is a fundamental data structure problem with many applications in machine learning, computer vision, recommendation systems and other fields. Although the main objective of the ...

Google has officially begun rolling out its March 2025 core algorithm update, according to an announcement posted to the Google Search Status Dashboard today. The update commenced at 9:23 AM PDT and ...