Easy to use open source fast database for search | Good alternative to Elasticsearch now | Drop-in replacement for E in the ELK soon
-
Updated
May 20, 2024 - C++
Easy to use open source fast database for search | Good alternative to Elasticsearch now | Drop-in replacement for E in the ELK soon
Search anything, instantly
DoqueDB is an open source relational database management system featuring powerful Japanese full-text search.
Postgres for Search and Analytics
The AI-native database built for LLM applications, providing incredibly fast full-text and vector search
Full text search for Redmine
Open Source PDF Document Management
Browser extension to curate, annotate, and discuss the most valuable content and ideas on the web. As individuals, teams and communities.
Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
REST API of online auctions application "Auction Auction".
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
An embeddable fulltext search engine. Groonga is the successor project to Senna.
A silverstripe search module that utilizes TNTSearch to index content and provides search functionality
Lucene plugin for Para
Elasticsearch plugin for Para
Fess is very powerful and easily deployable Enterprise Search Server.
Whoosh is a fast, featureful full-text indexing and searching library implemented in pure Python.
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.
Vector Database implemented in Golang with support for full-text and vector search as well as fault tolerance via Raft.
Add a description, image, and links to the full-text-search topic page so that developers can more easily learn about it.
To associate your repository with the full-text-search topic, visit your repo's landing page and select "manage topics."