fuzzy-search

Elassandra = Elasticsearch + Apache Cassandra

Java fuzzy string matching implementation of the well known Python's fuzzywuzzy algorithm. Fuzzy search for Java

Lucene based secondary indexes for Cassandra

Lightning fast spell correction / fuzzy search library based on SymSpell by Commerce-Experts

Various utilities regarding Levenshtein transducers. (Java)

Document Enrichment plugin for Elasticsearch

A containerized full-stack movie search application built using React, Spring Boot, and Elasticsearch. This project allows users to search for movies with real-time fuzzy search capabilities, browse results with pagination and manage movie data through RESTful APIs.

Java Fuzzy Search Library based on the Bitap algorithm with improvements

Rapid fuzzy string matching using the Levenshtein Distance. JNI wrapper around RapidFuzz-CPP.

Java implementation of some in-memory fuzzy search algorithms

A BK tree for fast, fuzzy, in-memory string matching

CLI keyword search across websites, documents, and local folders. Crawls multi-level sites, renders JavaScript SPAs with a headless browser, and extracts text from PDF, DOCX and 100+ formats via Apache Tika — reporting exact page and line numbers. Fuzzy matching, JSON output, Docker image.

👓 Implementing a Fuzzy Search Algorithm in Java with possible to extend by adding similarity calculation strategy

This repository stores source code for the practical section of the final diploma thesis.

A Spring Boot application providing CRUD APIs for products, with enhanced search capabilities using Elasticsearch.

Using an assortment of trees for a tidier, more flexible online directory.

Simil is a library for cleansing data.

Trie-based autocomplete & fuzzy-search engine in Java — prefix completion, top-k ranking with a bounded heap, and typo-tolerant Levenshtein matching. Ships a CLI, a benchmark harness, and JUnit tests verified against a brute-force reference.

File-based Java 21 library for fuzzy search over prefix-sharing codes (invoices, serials, shipment IDs). Chunked trie plus Levenshtein. No database or server.

Distributed Search Engine architecture built with Spring Boot, Apache Kafka, and Elasticsearch. Fully containerized Microservices pipeline from crawling to fuzzy search.