Search Results for "php search engine"

Text-Search-Engine is a JavaScript-based lightweight search engine that enables full-text search functionality. It allows developers to implement fast search indexing and retrieval in web applications.

QMD is a powerful and lightweight command-line tool that acts as an on-device search engine for your personal knowledge base, allowing you to index and search files like Markdown notes, meeting transcripts, technical documentation, and other text collections without depending on cloud services. Designed to keep all search activity local, it combines classic full-text search techniques with modern semantic features such as vector similarity and hybrid ranking so that queries return not just literal matches but conceptually relevant results. ...

...No server needed, no sources uploaded online. 7 themes are available from famous documentation tools like Gitbook, Read the Docs or projects like Vagrant, Laravel, Postmark and Stripe. Compodoc includes a powerful search engine (lunr.js) for easily finding your information. The generated pages display very well on mobile, tablet and desktop. Compodoc is a documentation tool for Angular applications. It generates static documentation of your application. Compodoc helps Angular developers provide clear and helpful documentation of their application.

...Material for MkDocs can be easily extended and provides many options to alter appearance and behavior. Don't let your users wait, get incredible value with a small footprint by using one of the fastest themes available with excellent performance, yielding optimal search engine rankings and happy users that return.

...The list of functions is loaded based on the capabilities of the server. Displays which query is running. Display the number of tables at the database. The icon of the table depends on its engine. List of fields in the table and inserting the field when clicking in the editor. DB selection via double click in the tree, pop-up window about selection. Search in the tree of objects, filtering the tree. Rebuilding the list of databases / tables after the query is executed. Table with information about completed requests at the end of the list / Requests in the tab are logged for performance comparison.

...Thus, leveraging all the benefits of the battle-tested Erlang runtime, chiefly: high availability and massive scalability which results in blazing fast response times. According to the DB-Engines ranking, Elasticsearch is the most popular enterprise search engine.