20 Open-search Self-hosted Web and Document Search Engine Solutions

20 Open-search Self-hosted Web and Document Search Engine Solutions
Photo by Luisa Peter / Unsplash

An open-source self-hosted search engine is a search engine that can be hosted on a server and used by an organization to search its own data. There are several benefits for an enterprise to use its own search engine, such as:

  1. Control: An enterprise can have complete control over the search engine, including the data that is indexed, the search algorithms used, and the search results displayed.
  2. Customization: An enterprise can customize the search engine to meet its specific needs. For example, it can add custom fields to the search index, create custom search filters, and integrate the search engine with other enterprise applications.
  3. Privacy: An enterprise can ensure the privacy of its data by using a self-hosted search engine. Since the data is hosted on the enterprise's own servers, there is no risk of data leakage to third-party search engines.

Using an open-source search engine has several advantages over using a proprietary search engine. Some of these advantages include:

  1. Cost: Open-source search engines are often free to use, which can be a significant cost savings for an enterprise.
  2. Flexibility: Open-source search engines are highly customizable, which means that they can be tailored to meet an enterprise's specific needs.
  3. Community support: Open-source search engines are supported by a large community of developers and users, which means that there is a wealth of knowledge and expertise available to help with any issues that might arise.

Types of Search Engines

Search engines are a crucial tool for finding information on the internet. They help us to quickly and easily find the information we need, whether it be a specific website or a piece of information within a document. However, not all search engines are created equal. In this blog post, we'll explore the different types of search engines available and their unique features.

1- Web Search Engines

Web search engines are the most common type of search engine. They search the internet for information and display the results to the user. Popular web search engines include Google, Bing, and Yahoo. Web search engines use complex algorithms to crawl and index the vast amount of information available on the internet. They allow users to search for information using keywords or phrases and provide relevant results in a matter of seconds.

2- Meta Search Engines

A metasearch engine is a search engine that searches other search engines to gather its results. Instead of searching the web directly, a metasearch engine aggregates results from other search engines and displays them to the user. Metasearch engines can be useful for finding information that might be missed by a single search engine, as well as for comparing results from different search engines. Examples of metasearch engines include Dogpile and MetaCrawler.

3- Full-Text Search Engines

A full-text search engine is a search engine that searches for keywords or phrases within the full text of documents. Unlike traditional search engines that only search for the presence of keywords within a document, full-text search engines search the entire text of a document. Full-text search engines can be useful for finding specific information within large documents or collections of documents, such as a library or a database. Examples of full-text search engines include Elasticsearch and Apache Solr.

4- Document Search Engines

A document search engine is a search engine that is specifically designed to search for and retrieve documents, such as PDFs, Word documents, or other types of files. Document search engines can be useful for finding specific documents within large collections of files, such as a file server or a document management system. Examples of document search engines include DocFetcher and SearchBlox.

In conclusion, search engines come in many types, each with its own unique features and capabilities. While web search engines are the most common type of search engine, other types such as metasearch engines, full-text search engines, and document search engines can be useful for specific purposes. By understanding the differences between these types of search engines, users can choose the one that is best suited to their needs and find the information they need quickly and easily.

1- Meilisearch

Meilisearch helps you shape a delightful search experience in a snap, offering features that work out-of-the-box to speed up your workflow.

GitHub - meilisearch/meilisearch: A lightning-fast search engine that fits effortlessly into your apps, websites, and workflow.
A lightning-fast search engine that fits effortlessly into your apps, websites, and workflow. - GitHub - meilisearch/meilisearch: A lightning-fast search engine that fits effortlessly into your app…
Meilisearch is a blazing fast open-source search engine
Meilisearch, an open-source, easy-to-use, blazingly fast, and hyper-relevant search engine built in Rust.

2- Weaviate

Weaviate is an open source vector database that stores both objects and vectors, allowing for combining vector search with structured filtering with the fault-tolerance and scalability of a cloud-native database, all accessible through GraphQL, REST, and various language clients.

  • Tech: Go lang.
GitHub - weaviate/weaviate: Weaviate is an open source vector database that stores both objects and vectors, allowing for combining vector search with structured filtering with the fault-tolerance and scalability of a cloud-native database, all accessible through GraphQL, REST, and various language clients.
Weaviate is an open source vector database that stores both objects and vectors, allowing for combining vector search with structured filtering with the fault-tolerance and scalability of a cloud-n…

3- Mwmbl

Mwmbl is a non-profit, ad-free, free-libre and free-lunch search engine with a focus on usability and speed. At the moment it is little more than an idea together with a proof of concept implementation of the web front-end and search technology on a small index.

  • Tech: Python.
GitHub - mwmbl/mwmbl: An open source, non-profit search engine implemented in python
An open source, non-profit search engine implemented in python - GitHub - mwmbl/mwmbl: An open source, non-profit search engine implemented in python


4- Open source Search Engine

A distributed open source search engine and spider/crawler written in C/C++ for Linux on Intel/AMD. From gigablast dot com, which has binaries for download. See the README.md file at the very bottom of this page for instructions.

  • Tech: C++.
GitHub - gigablast/open-source-search-engine: Nov 20 2017 -- A distributed open source search engine and spider/crawler written in C/C++ for Linux on Intel/AMD. From gigablast dot com, which has binaries for download. See the README.md file at the very bottom of this page for instructions.
Nov 20 2017 -- A distributed open source search engine and spider/crawler written in C/C++ for Linux on Intel/AMD. From gigablast dot com, which has binaries for download. See the README.md file at…

5- DataparkSearch

DataparkSearch is a free and open-source web search engine. It supports various URL schemes, indexes multiple mime types, and offers features such as multilingual support, query expansion, and sorting options.

It also includes an indexer, web CGI front-end, and search module for Apache web server, as well as flexible update scheduling and effective caching for faster search times.

  • Tech: C.
GitHub - Maxime2/dataparksearch: An open source, feature rich search engine.
An open source, feature rich search engine. Contribute to Maxime2/dataparksearch development by creating an account on GitHub.
DataparkSearch Engine - an open source search engine

6- Elasticsearch

Elasticsearch is a powerful and versatile search engine that has been designed to deliver high-speed and highly relevant search results, offering an unparalleled search experience that is fully optimized for real-time search over extremely large datasets. It is a highly sought-after tool for vector search, full-text search, logs, metrics, APM, and security logs, providing users with a comprehensive and scalable solution that can be tailored to meet the specific needs of their business or organization.

  • Tech: Java.
GitHub - elastic/elasticsearch: Free and Open, Distributed, RESTful Search Engine
Free and Open, Distributed, RESTful Search Engine. Contribute to elastic/elasticsearch development by creating an account on GitHub.


7- OpenSearchServer

Open Search Server is a powerful and flexible search engine that offers many benefits over proprietary search engines. Its customizable indexing and search features, user management system, and extensibility make it a popular choice for businesses, organizations, and individuals who need powerful search functionality without the high costs associated with proprietary search engines. So why not give it a try and see for yourself how Open Search Server can help you find the data you need.

OpenSearchServer: Self-hosted Open-source High Performance Search Engine.
OpenSearchServer is an open-source search engine software that allows developers to create their own search engine for their websites or applications. It is developed in Java and comes with a REST API that allows developers to integrate search functionality into their applications easily. OpenSearc…

8- Searx

Searx is a free internet metasearch engine which aggregates results from more than 70 search services. Users are neither tracked nor profiled. Additionally, searx can be used over Tor for online anonymity.

Welcome to searx — Searx Documentation (Searx-1.1.0.tex)
Searx: Create Your Own Private Meta Search Engine
Searx is a free internet metasearch engine which aggregates results from more than 70 search services. Users are neither tracked nor profiled. Additionally, It can be used over Tor for online anonymity. Searx is written in Python, and offers a highly customizable scalable architecture and developer…

9- Milvus

Milvus is an open-source vector database built to power embedding similarity search and AI applications. Milvus makes unstructured data search more accessible, and provides a consistent user experience regardless of the deployment environment.

It is an ideal solution for writing search and content focused applications.

GitHub - milvus-io/milvus: A cloud-native vector database, storage for next generation AI applications
A cloud-native vector database, storage for next generation AI applications - GitHub - milvus-io/milvus: A cloud-native vector database, storage for next generation AI applications


10- Typesense

Typesense is an open-source, typo-tolerant search engine that provides fast and user-friendly search experiences. It uses advanced search algorithms and prioritizes user privacy. With Typesense, you can create a variety of search experiences, including faceted navigation, geo-search, vector search, semantic search, and similarity search.

Typesense is an Open-source Self-hosted Search Engine and Algolia Alternative
What is Typesense? Typesense is an incredibly fast search engine that can tolerate typos, allowing you to quickly and accurately search your data even if you make mistakes while typing. Unlike other search engines such as Algolia and Elasticsearch, Typesense is open source, which means that you can…

11- FlexSearch

FlexSearch is a full-text search library that is known for its speed and flexibility. It is capable of handling large amounts of data and has zero dependencies, making it easy to use in a variety of applications.

  • Tech: JavaScript.
GitHub - nextapps-de/flexsearch: Next-Generation full text search library for Browser and Node.js
Next-Generation full text search library for Browser and Node.js - GitHub - nextapps-de/flexsearch: Next-Generation full text search library for Browser and Node.js

Whoogle is a self-hosted metasearch engine that lets you search Google without ads, trackers, or AMP links, and without cookie or IP address tracking. You can deploy Whoogle using Docker, manually, or on Arch Linux, Heroku, or Fly.io. Configuration is simple with a single configuration file.

  • Tech: Python.
Whoogle Search: Create your Private Meta Search Engine
Whoogle is a free open-source self-hosted metasearch engine that allows you to search and get your Google results without ads, JavaScript trackers, or AMP links. It also ignores cookies, and does not perform any IP address tracking. To get your Whoogle ready, all you need to do is deploy it

13- OpenSearch

OpenSearch is a community-driven, open source fork of Elasticsearch and Kibana following the license change in early 2021. We're looking to sustain (and evolve!) a search and analytics suite for the multitude of businesses who are dependent on the rights granted by the original, Apache v2.0 License.

GitHub - opensearch-project/OpenSearch: 🔎 Open source distributed and RESTful search engine.
🔎 Open source distributed and RESTful search engine. - GitHub - opensearch-project/OpenSearch: 🔎 Open source distributed and RESTful search engine.

14- Qdran

Qdrant (read: quadrant) is a vector similarity search engine and vector database. It provides a production-ready service with a convenient API to store, search, and manage points—vectors with an additional payload Qdrant is tailored to extended filtering support. It makes it useful for all sorts of neural-network or semantic-based matching, faceted search, and other applications.

  • Tech: Rust.
GitHub - qdrant/qdrant: Qdrant - Vector Database for the next generation of AI applications. Also available in the cloud https://cloud.qdrant.io/
Qdrant - Vector Database for the next generation of AI applications. Also available in the cloud https://cloud.qdrant.io/ - GitHub - qdrant/qdrant: Qdrant - Vector Database for the next generation…

15- Vespa: BigData Search Engine

The open big data serving engine - Store, search, organize and make machine-learned inferences over big data at serving time.

GitHub - vespa-engine/vespa: The open big data serving engine. https://vespa.ai
The open big data serving engine. https://vespa.ai - GitHub - vespa-engine/vespa: The open big data serving engine. https://vespa.ai

TNTSearch is an open-source full-text search engine designed for easy integration with PHP applications. It is built entirely in PHP, which makes it highly portable and easy to use. With its simple configuration, TNTSearch can provide an outstanding search experience for your applications in just a few minutes.

One of the most notable features of TNTSearch is its support for stemming, which allows for more accurate and effective search results. Currently, TNTSearch supports stemming for several languages, including English, Croatian, Arabic, Italian, Russian, Portuguese, and Ukrainian. This means that users can search for keywords in their native language and still get accurate results.

In addition, TNTSearch offers a range of customization options to suit your specific needs. You can configure the engine to work with different databases, customize the indexing process, and even implement your own search algorithms. With TNTSearch, the possibilities are endless, and you can tailor your search engine to match your exact requirements.

  • Tech: PHP.
Add a Full-Text Search to your PHP Projects with TNTSearch
What is TNTSearch? TNTSearch is a full-text search (FTS) engine written entirely in PHP. A simple configuration allows you to add an amazing search experience in just minutes. It supports stemming for English, Croatian, Arabic, Italian, Russian, Portuguese and Ukrainian. TNT Search Features *…

17- miniSearch

MiniSearch is a tiny but powerful in-memory fulltext search engine written in JavaScript. It is respectful of resources, and it can comfortably run both in Node and in the browser.

GitHub - lucaong/minisearch: Tiny and powerful JavaScript full-text search engine for browser and Node
Tiny and powerful JavaScript full-text search engine for browser and Node - GitHub - lucaong/minisearch: Tiny and powerful JavaScript full-text search engine for browser and Node


18- tinysearch

tinysearch is a lightweight, fast, full-text search engine. It is designed for static websites. tinysearch is written in Rust, and then compiled to WebAssembly to run in a browser.

GitHub - tinysearch/tinysearch: 🔍 Tiny, full-text search engine for static websites built with Rust and Wasm
🔍 Tiny, full-text search engine for static websites built with Rust and Wasm - GitHub - tinysearch/tinysearch: 🔍 Tiny, full-text search engine for static websites built with Rust and Wasm

19- Monocle

Monocle is my universal, personal search engine. It can query across tens of thousands of documents from my blog posts, journal entries, notes, Tweets, contacts, and more to act as my extended memory spanning my entire life. Monocle is designed with a focus on speed, privacy, and hackability.

GitHub - thesephist/monocle: 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.
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.…

20- YaCy

YaCy is a peer-to-peer search engine that allows users to index and search for information on the internet. Unlike traditional search engines, YaCy does not rely on a centralized server to store and index data. Instead, it uses a distributed network of nodes to index and share data between users.

Home - YaCy
YaCy P2P - Decentralized Search Engine

Conclusion

In conclusion, open-source self-hosted search engines offer a range of benefits for enterprises, including greater control, customization, and privacy. By leveraging the power of open-source software and custom search engines, enterprises can create a search experience that is tailored to their specific needs.

Finally, custom search engines offer even greater flexibility and control for an enterprise. With a custom search engine, an enterprise can create a search experience that is tailored to the needs of its users. This can include custom search filters, custom search results, and even custom search algorithms.

15 Open-source Full-Text Search Engine Solutions for developers
Full-Text Search is a technical term referred to advanced linguistic text query for a database or text documents. The search engine examines all the words stored in a document as it tries to match certain search criteria giving by the user. Many web websites depend on Full-text search to perform

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