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A vector database, vector store or vector search engine is a database that can store vectors (fixed-length lists of numbers) along with other data items. Vector databases typically implement one or more Approximate Nearest Neighbor algorithms, [1] [2] [3] so that one can search the database with a query vector to retrieve the closest matching database records.
OpenSearch is a family of software consisting of a search engine (also named OpenSearch), and OpenSearch Dashboards, a data visualization dashboard for that search engine. [2] It is an open-source project developed by the OpenSearch Software Foundation (a Linux Foundation project) written primarily in Java .
OpenSearch is a collection of technologies that allow the publishing of search results in a format suitable for syndication and aggregation.Introduced in 2005, it is a way for websites and search engines to publish search results in a standard and accessible format.
It is a unique type of AI-first database using machine learning models outputting vectors, also known as embeddings, hence the name vector search engine, said Bob van Luijt, SeMI’s CEO and co ...
Cross-platform open-source desktop search engine. Unmaintained since 2011-06-02 [9]. LGPL v2 [10] Terrier Search Engine: Linux, Mac OS X, Unix: Desktop search for Windows, Mac OS X (Tiger), Unix/Linux. MPL v1.1 [11] Tracker: Linux, Unix: Open-source desktop search tool for Unix/Linux GPL v2 [12] Tropes Zoom: Windows: Semantic Search Engine (no ...
OpenSearch (software) and Solr: the two most well-known search engine programs (many smaller exist) based on Lucene. Gensim is a Python+ NumPy framework for Vector Space modelling. It contains incremental (memory-efficient) algorithms for term frequency-inverse document frequency , latent semantic indexing , random projections and latent ...
The search engine that helps you find exactly what you're looking for. Find the most relevant information, video, images, and answers from all across the Web. AOL.
In information retrieval, Okapi BM25 (BM is an abbreviation of best matching) is a ranking function used by search engines to estimate the relevance of documents to a given search query. It is based on the probabilistic retrieval framework developed in the 1970s and 1980s by Stephen E. Robertson , Karen Spärck Jones , and others.