Libraries tagged by keyboard

Allows adding weight to entries in the Search Index, or to keywords, to make them appear closer to the top in search results.

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Search Package OverviewThe Search package is a powerful tool designed to facilitate efficient and effective search operations within various datasets or databases. It provides a set of functions and classes that enable users to perform complex search queries, filter results, and retrieve relevant data with ease. The package is highly customizable, allowing users to define their own search criteria, implement sorting mechanisms, and handle large volumes of data seamlessly.Key Features: Customizable Search Queries: Users can create tailored search queries using various operators and conditions, making it possible to perform both simple and advanced searches. Sorting and Filtering: The package includes built-in methods to sort and filter search results, enabling users to organize data based on specific parameters such as date, relevance, or custom fields. Scalability: Designed to handle large datasets, the Search package is optimized for performance, ensuring quick response times even with millions of records. Integration: The package is compatible with a variety of databases and data sources, making it a versatile solution for different types of projects. User-Friendly Interface: It offers a straightforward API that is easy to use, even for those who are not experts in programming. This allows a broader audience to leverage the power of advanced search capabilities.Use Cases: Data Analysis: Quickly find and retrieve specific information from large datasets for analysis. Content Management Systems: Implement efficient search functionality in content-heavy websites or applications. E-commerce: Enhance product search features in online stores, improving the user experience by providing relevant results swiftly. Knowledge Bases: Help users find relevant articles or documentation based on keyword searches.Overall, the Search package is an essential tool for anyone needing to implement or enhance search functionality in their applications, providing both power and flexibility in managing and retrieving data.

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Getting metadata of some pages based on keywords

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AMT_Pinecone is a TYPO3 extension that integrates semantic search capabilities into your website using OpenAI embedding models and the Pinecone vector database. Semantic search focuses on understanding the meaning and context of search queries rather than relying on exact keyword matches. It enables more intuitive and relevant search results by analyzing the relationships between words and their meanings. This extension leverages advanced AI models to provide users with highly accurate and context-aware search experiences.

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SEO module for Smile Custom Entity to add SEO attributes (meta title, meta description, meta keywords, meta robots).

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Using google API we can search any keyword in google and we can integrate this in our system as well

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Keyword, hashtag, cashtag, Google, and Twitter search words/phrases.

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A simple component that adds a Meta Tags metabox to Wordpress posts that lets you manually define meta keywords and description.

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Instantiate a class by calling `::new()`, as an alternative to the `new` keyword.

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Codes with keywords for Drd+ theurgist

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Removes final keyword from source code on-the-fly and allows mocking of final methods and classes

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Allows management of page title, meta description and meta keywords.

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AddOn for SallyCMS, providing an extensible forum system.

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Provides an indexer for the SlyBoard addOn to the Lucene Search addOn.

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