tf-idf

Ragger — RAG and agent memory. A local semantic memory server with hybrid vector + custom FTS search.

High-performance C++20 parallel search engine & file indexer comparing custom inverted index (TF-IDF, atomic persistence) vs. SQLite FTS5 (BM25, WAL). Features OS file watcher, debouncer, and mmap.

C++17 search engine with inverted indexing, TF-IDF, PageRank, atomic snapshots, and reproducible million-document benchmarks.

Yandex.Practicum C++ course project: TF-IDF document search with filtering and parallel processing using Intel TBB.

C++ Information Retrieval System implementing text parsing, inverted indexing, TF-IDF ranking, cosine similarity, and precision/recall evaluation.

High-performance in-memory search engine built in Modern C++17 featuring Trie, Inverted Index, TF-IDF ranking, fuzzy search, wildcard search, LRU caching, and multithreaded indexing.

A full-stack document search engine built in C++ with React and Express, featuring TF-IDF ranking, Boolean and phrase search, Trie autocomplete, fuzzy search, PDF indexing, and snippet generation.

Modern C++17 Search Engine using Inverted Index

Modern C++ Smart Search Engine implementing Inverted Index, TF-IDF Ranking, Trie-based Auto Complete, Boolean Search, Phrase Search, Spell Correction, LRU Cache, Query Analytics and Fuzzy Search.

Multithreaded C++ search engine using inverted indexing, TF-IDF/BM25 ranking, Windows threads, synchronization, benchmarking, unit tests, and CI.

A hybrid search engine and RAG pipeline implementing both classical inverted-indexing and modern vector semantic search.

C++ search engine with inverted indexing, TF-IDF ranking, multi-threaded document processing, and millisecond query execution.

A Parallel Term Frequency–Inverse Document Frequency Implementation in C++. Final Project for COP 4520 UCF

Fast Query Ranker with TF-IDF and Cosine Similarity

A high-performance Wikipedia search engine built from scratch in C++. Features a custom Inverted Index for O(1) lookups, TF-IDF & PageRank for relevance scoring, and a Trie-based autocomplete system.

Terminal-based Term frequency–inverse document frequency index in C++

Moved to @serenedb - https://github.com/serenedb/serenedb

A lightweight, customizable chatbot for Telegram running on an ESP32 microcontroller. It's optimized for low-resource environments and embedded systems projects.

A multiThreading local search engine built using C++ & TF_IDF Algorithm

Efficient keyword-based document search engine in C++. Extracts words from documents, calculates term frequency and inverse document frequency, and ranks documents by relevance using TF-IDF. Outputs top results to screen and file. Performance optimized for large data sets.