A lightning-fast search API that fits effortlessly into your apps, websites, and workflow

Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences

Next-Generation full text search library for Browser and Node.js

Easy to use open source fast database for search | Good alternative to Elasticsearch now | Drop-in replacement for E in the ELK soon

A bit like Solr, but much smaller and not as bright

Postgres for Search and Analytics

A supercharged version of paperless: scan, index and archive all your physical documents

Browser extension to curate, annotate, and discuss the most valuable content and ideas on the web. As individuals, teams and communities.

A fully featured full text search engine written in PHP

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text

Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍

RadonDB is an open source, cloud-native MySQL database for building global, scalable cloud services

YouTube Full Text Search - Search all of a YouTube channel from the command line

Universal personal search engine, powered by a full text search algorithm written in pure Ink, indexing Linus's blogs and private note archives, contacts, tweets, and over a decade of journals.

Lightweight Python utilities for working with Redis

Fess is very powerful and easily deployable Enterprise Search Server.

An embeddable fulltext search engine. Groonga is the successor project to Senna.

Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & Collaborations.

High performance Chinese tokenizer with both GBK and UTF-8 charset support based on MMSEG algorithm developed by ANSI C. Completely based on modular implementation and can be easily embedded in other programs, like: MySQL, PostgreSQL, PHP, etc.

A cutting-edge search engine project tailored specifically for the AI product