A highly efficient, isomorphic, full-featured, multilingual text search engine library, providing full-text search, fuzzy matching, phonetic scoring, document indexing and more, with micro JSON state hydration/dehydration in-browser and server-side.

Public releases for Buzee

Stichwortfinder für Texte in Dokumenten eines Ordners / Keyword Finder for Texts in Documents of a Directory (for English, see README-en.md)

Mini desktop search engine with Binary Search Tree

Website in PHP to index all pdf content and easy way to find any text

The extended version of simhash supports fingerprint extraction of documents and images.

Rust-based text search engine from scratch supporting multiple document similarity metrics (TF-IDF, BM25, BM25VA)

Distributed document search using TF-IDF algorithm.

NLP Course By Deep learning.io powered by @coursera. Taught by: Younes Bensouda Mourri, Instructor of AI at Stanford University and Łukasz Kaiser, Staff Research Scientist at Google Brain.

Apache Solr Document Search and Indexing Analysis with OCR

Open Source Search Engine with built-in web/document crawler and an indexing method.

Retrieval-Augmented Generation, or RAG, is an innovative approach that enhances the capabilities of pre-trained large language models (LLMs) by integrating them with external data sources. This technique leverages the generative power of LLMs (Large Language Model), and combines it with the precision of specialized data search mechanisms.

Search anything, instantly

This module aims to make documents searchable with product keywords in Magento 2.

This module aims to make documents searchable for customers in Magento 2.

Information retrieval of text document using TF-IDF weighting & Cosine Similarity Algorithm.

Given a set of PDFs and the query, the most relevant pdf can be found with the help of TF-IDF. The code has not used any library to implement TF-IDF

COVID-19 comorbidities analysis platform based on Natural Language Processing(NLP)

A JavaScript library that brings vector search and RAG to your browser!

Finding all pairs of similar documents time- and memory-efficiently