Search-engine has written in Ruby, Python, JavaScript. Search-engine is another highly innovative search engine for document searching that you can opt for. MetaFinder is written with Python and licensed under the GPL-3.0 license. Available on multiple platforms, you will not have to worry about the platform that you are using. It is released under an MIT license.Īn open-source document search engine, MetaFinder can be easily downloaded for free use. Perlin is one of the free document search engines build on top of Perlin-core. Tiny size, only 38kb DLL ( is ~300kb).Highly optimized storage, typically ~60% smaller than (the more in the index the greater the difference).Multi-threaded implementation, meaning you can query while indexing.Uses WAH compressed BitArrays to store information.Blazing fast operating speed (see performance test section).This software built from scratch using inverted WAH bitmap Roaring bitmap index, highly compact storage, operating in database and document modes. HOOt is a free and Smallest full-text search engine. A document is actually a collection of indexed/stored fields. A database record is represented as an abstraction called a document.It allows for trivial multi-threaded read/write operations on the index.Indexed data is treated on a per-version/per-revision basis.It has a library that is meant to be treated as a standalone index. ![]() This software is provided under the Apache 2.0 Software license. It is focused on the pluggability of different ranking/similarity models. IResearch search engine IResearchĪ performance document-oriented search engine library, IResearch is a cross-platform that is written entirely in C++. Monitoring: Alerts and Watchlists (Newsfeeds).Collaborative annotation and tagging (Social search and collaborative filtering).Exploration, browsing, and preview(Exploratory search).Thesaurus and Grammar ( Semantic search).The best thing about the open Semantic Search is that it is Free Software for your own Search Engine which is open-source enterprise-search and Open Standards for Linked Data, Semantic Web, and Linked Open Data integration. Open Semantic Search Open Semantic SearchĪnother Dockerfile, JavaScript-based open-source document search engine the Open Semantic Search supports different file formats, multiple data sources. Moreover, it is released under the LGPL-3.0 license. The program is written in Java, this content integration framework can store parsed entities into Jena ( ) RDF vocabularies and provides a knowledge-based enhanced semantic analysis of content. The Cider document search engine is one of the valuable additions to our list. Use a simple REST API to integrate Ambar into your workflow.Easily deploy Ambar with a single docker-compose file.Ambar performs OCR on your images and PDFs.Ambar supports all popular document formats.Tag your documents to easily find what you need.Perform a Google-like search through your documents and images contents.This document search engine is compatible with all the common file types like ZIP archives, Mail archives (PST), MS Office documents (Word, Excel, PowerPoint, Visio, Publisher), OCR over images, email messages with attachments, Adobe PDF (with OCR), and several others. ![]() Based on open technology similar to JavaScript, Python, CSS. Ambar comes with automated crawling, OCR, tagging, and instant full-text search. Ambar AmbarĪn open-source document search engine as well as a way to implement full-text document search into your workflow. Top 10 open-source Document Search Engine 1.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |