Contextual Query Language (CQL), previously known as Common Query Language, is a formal language for representing queries to information retrieval systems...

A query language, also known as data query language or database query language (DQL), is a computer language used to make queries in databases and information...

via URL (SRU). Queries in SRU and SRW are expressed using the Contextual Query Language (CQL). Standards for SRW, SRU, and CQL are promulgated by the...

protocol for Internet search queries, utilizing Contextual Query Language (CQL), a standard query syntax for representing queries. SRU, along with the related...

versions in 1988, 1992, 1995 and 2003. The Contextual Query Language (formerly called the Common Query Language) is based on Z39.50 semantics. The protocol...

context provided by the user and the computer being used to enter the query. Contextual search services differ from current search engines based on traditional...

that enables large language models (LLMs) to retrieve and incorporate new information. With RAG, LLMs do not respond to user queries until they refer to...

Semantic queries allow for queries and analytics of associative and contextual nature. Semantic queries enable the retrieval of both explicitly and implicitly...

Contextual AI is an enterprise software company based in Mountain View, California. It develops a platform for building specialized Retrieval-Augmented...

Contextual advertising (also called contextual targeting) is a form of targeted digital advertising. Contextual advertising is also called "In-Text" advertising...

lookup from a word embedding table. At each layer, each token is then contextualized within the scope of the context window with other (unmasked) tokens...

learns contextual, latent representations of tokens in their context, similar to ELMo and GPT-2. It found applications for many natural language processing...

natural language data access, MCP enables applications such as AI2SQL to bridge language models with structured databases, allowing plain-language queries. MCP...

content for large language models (LLMs) and other AI systems. AIO focuses on aligning content with the semantic, probabilistic, and contextual mechanisms used...

refer to: Chess Query Language, a query language for interrogating chess databases Contextual Query Language (or common query language), for information...

schema-on-read storage for contextual data analytics and management using massively parallel processing and the proprietary Dynatrace query language (DQL), which uses...

offered the so-called SmartSearch which allows a query to be composed using a subset of Contextual Query Language (CQL). In 2012, the EPO launched "Patent Translate"...

by running a query over the program. Prolog was one of the first logic programming languages and remains the most popular such language today, with several...

improve search accuracy by understanding the searcher's intent and the contextual meaning of terms as they appear in the searchable dataspace, whether on...

for a specific query is calculated as P ( query ) = ∏ word in query P ( word ) {\displaystyle P({\text{query}})=\prod _{\text{word in query}}P({\text{word}})}...

to better understand the contextual meaning of queries and documents. This marked one of the first times deep neural language models were used at scale...

integration of contextual information. A simple example can be formulated as a series of increasingly difficult natural language queries to locate a target...

the paper focused on, the Query and Key matrices are usually represented in embeddings corresponding to the source language while the Value matrix corresponds...

case of machine learning in which a learning algorithm can interactively query a human user (or some other information source), to label new data points...

programming languages such as Haskell and ML, and is driven largely by the introduction of the Language Integrated Query (LINQ) pattern to the Common Language Runtime...

artificial intelligence–powered image generation, allowing it to create contextual images and be adapted for a wider range of use cases. Like Bard, Google...

per user demand, to proactively complete a given task. It has built-in contextual awareness and memory function to provide suitable suggestions to users...

given a query in natural language, the embedding for the query can be generated. A top k similarity search algorithm is then used between the query embedding...

internet media XProc : a W3C standard language to describe XML Pipeline XQuery: a query language designed to query collections of XML data (similar to SQL)...

meaningful queries to issue against search forms. Several form query languages (e.g., DEQUEL) have been proposed that, besides issuing a query, also allow...