🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb.
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Updated
Oct 10, 2025 - TypeScript
🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb.
A* search algorithm in TypeScript
The World's First AI-Enabled Multi-Modality Native Search Engine
A component-based CJK character search engine
Multiprocessing genetic algorithm implementation library
Leaked Yandex search ranking factors transformed into JSON and translated into English.
🕵 Simple fuzzy search library written in TypeScript
Internet's first Goggles manager.
This VS Code extension enables to search by DOM query selectors in HTML/XML documents.
Admin console UI for Typesense built using NextJS
This repository is a collection of TypeScript algorithms and data structures.
🦕 Constraint Statisfaction Problem (CSP) Solver for Deno
This is a simple information retrieval system that can be used to search for documents in a corpus. The system is based on the positional index data structure. The system is built using Node.js and Express.js. The system is built as a part of the course CS F313 Data Storage and Retrieval at Helwan University Software Engineering program 2023/2024.
Multiprocessing genetic algorithm implementation library extension
⚡ Visual Studio Code Extension to search and save algorithms inside the editor.
In this repo I was building a frontend AND backend based modelcar search application with a react framework called next.js using postgres full-text search and semantic quaring with a vector database and last but not least an EXEL-product catalogue with several cars to feed our database with relevant informations to search for.
Simple group search w/Next.js 14
This an Angular WebApp which can help beginners to better understand a few basic algorithms like insertion sort, bubble sort and breadth first search.
In this project, I'll cover search and sorting algorithms in JavaScript, motivated by the lack of content for the dev community. Most of the content was aimed at solutions in Python, Java, C, C++, among others.
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