This project is a hands-on exploration of Apache Lucene, a powerful, low-level search library. With its support for vector-based search, Lucene is well-equipped for modern search development. This capability is crucial for unlocking new ways to improve result sorting using AI models.
The task is to integrate a Lucene-based search solution into the IntelliJ Search Everywhere feature, then analyze its performance against the built-in search.
Suggested steps:
Implement a Search Engine: Design and build a new search provider for IntelliJ using Lucene.
Develop a Plugin: Create a plugin using the IntelliJ Platform SDK that adds the Lucene-based search as a new option in the "Search Everywhere" popup.
Conduct Performance Benchmarks: Run a series of tests to compare the Lucene-based search with IntelliJ's standard search. The goal is to measure and document differences in speed and accuracy.
This project is a great opportunity to gain practical experience with core search technology and professional software development.
Programming Proficiency: Must be ready to read and write code in Java and Kotlin. Familiarity with Kotlin Coroutines is also required.
Problem-Solving: The ability to independently break down a complex problem into smaller, manageable tasks. The project involves multiple stages, from understanding the Lucene API to integrating it into a large application like IntelliJ.
Relevant Experience: Prior exposure to concepts related to full-text search, such as inverted indexes and information retrieval, is a plus.