Ishan Upamanyu — Tech Journal

A hands-on walkthrough of the Lucene API — from adding your first dependency to running your first search query.

The data structure behind every fast full-text search — explained from first principles with real Lucene examples.

Inside the Vector Space Model — how TF-IDF and cosine similarity turn a query into a ranked list of results.

Fields, documents, analyzers, IndexWriter, QueryParser, IndexSearcher — the seven building blocks of every Lucene application.

How to add Google-style spell correction to a Lucene search engine using Hunspell dictionaries.

Two ways to fetch every document from a Lucene index — MatchAllDocsQuery and QueryParser wildcard — with a paginated Java example.

Indexing 11.5 million Wikipedia articles with Apache Solr and Spring Boot — parsing, field types, relevancy tuning, and deployment.

Essays on building, breaking, and understanding software.