Overview

The searchEngine project is an innovative search engine system that operates on the powerful ElasticSearch framework, complemented by a Java backend. It seamlessly integrates various technologies like Spring Boot, Vue.js, and Log4j to enhance functionality and user experience. With its core abilities to perform keyword highlighting in searches and enable text additions, this engine is designed to streamline how users interact with and access text-based data.

Through the use of ElasticSearch for data storage and the RestHighLevelClient for server communication, searchEngine provides a robust platform for developers and enthusiasts to dive into more advanced search functionalities. The project is continuously evolving, with future enhancements aimed at broadening its capabilities and encouraging collaboration among learners and developers looking to deepen their understanding of search technologies.

Features

Keyword Highlighting: Implements an intuitive keyword highlighting feature during searches for enhanced visibility of relevant content.
Text Addition Capability: Users can easily add new text entries into the system, making it convenient for content management.
Integrated Tech Stack: Utilizes popular frameworks including Spring Boot, ElasticSearch, and Vue.js, ensuring a modern development approach.
RESTful Client Access: Employs the RestHighLevelClient for efficient data retrieval and manipulation from the ElasticSearch server.
User-Friendly Interface: Built with Vue.js to allow for simple and adaptive interactions, facilitating smooth user experiences.
API Encapsulation: Offers a straightforward API for developers to leverage ElasticSearch functionalities without extensive overhead.
Community-Oriented Development: Encourages collaboration and knowledge sharing among peers interested in search engine technologies.
Continuous Improvement: The project has plans for ongoing enhancements to introduce new features based on user feedback and technical advancements.

Jinquan Liu

SearchEngine