Initial commit

src/roadmaps/aspnet-core/content/107-databases/100-search-engines/100-elasticsearch.md

@@ -1 +1,12 @@
-# Elasticsearch
+# Elasticsearch
+
+Elasticsearch is a distributed, open-source search and analytics engine that can be used to index, search, and analyze large volumes of data quickly and in near real-time. It is built on top of the Apache Lucene library and can be used to perform full-text search, faceted search, and geospatial search, among other things.
+
+In an ASP.NET application, Elasticsearch can be integrated as a search engine to provide advanced search functionality to the application. There are several libraries available for integrating Elasticsearch with an ASP.NET application, such as Nest and Elasticsearch.Net. These libraries provide a .NET client for Elasticsearch, which can be used to interact with the Elasticsearch engine from within an ASP.NET application.
+
+
+To learn more, visit the following resources:
+
+- [Elasticsearch in ASP.NET Core](https://code-maze.com/elasticsearch-aspnet-core/)
+- [An Elasticsearch Tutorial for .NET Developers](https://www.toptal.com/dot-net/elasticsearch-dot-net-developers)
+- [How to integrate ElasticSearch in ASP.NET?](https://blexin.com/en/blog-en/how-to-integrate-elasticsearch-in-asp-net-core/)

src/roadmaps/aspnet-core/content/107-databases/100-search-engines/101-solr.md

@@ -1 +1,11 @@
-# Solr
+# Solr
+
+Apache Solr is a search engine platform based on the Apache Lucene library. It is a standalone enterprise search server that provides a REST-like API for indexing, searching, and updating documents. Solr can be used to perform full-text search, faceted search, and geospatial search, among other things.
+
+Solr can be useful in ASP.NET application to provide advanced search capabilities, such as full-text search, faceted search and geospatial search, which can be useful in e-commerce, content management systems, and logging and monitoring applications. It is known for its scalability, performance and its ability to handle large volumes of data with complex queries.
+
+For more information, visit the following resources:
+
+- [Guide to Solr in ASP.NET](https://www.codeproject.com/Tips/480091/Using-Solr-for-Search-with-NET-Csharp)
+- [How to get Started with Solr.NET?](https://stackoverflow.com/questions/5646615/how-to-get-started-with-solr-net)
+- [Integrate Solr Instance With .NET Core](https://stacksecrets.com/dot-net-core/integrate-solr-instance-with-net-core)

src/roadmaps/aspnet-core/content/107-databases/100-search-engines/102-sphinx.md

@@ -1 +1,11 @@
-# Sphinx
+# Sphinx
+
+Sphinx is an open-source full-text search engine that can be used to index, search and analyze large volumes of data quickly and in near real-time. It is designed to handle high-traffic websites and large data sets and can be used for full-text search, faceted search, and geospatial search.
+
+In an ASP.NET application, Sphinx can be integrated as a search engine to provide advanced search functionality to the application. There are several libraries available for integrating Sphinx with an ASP.NET application, such as SphinxQL.NET and SphinxClient. These libraries provide a .NET client for Sphinx, which can be used to interact with the Sphinx engine from within an ASP.NET application.
+
+For more information, visit the following links:
+
+- [Overview of Sphinx in ASP.NET](https://www.sphinxconnector.net/)
+- [Intro to Sphinx](http://sphinxsearch.com/forum/view.html?id=3609)
+- [Documentation of Sphinx in ASP.NET](https://www.ericholscher.com/blog/2016/jul/1/sphinx-and-rtd-for-writers/)

src/roadmaps/aspnet-core/content/107-databases/100-search-engines/index.md

@@ -1 +1,11 @@
-# Search engines
+# Search Engines
+
+A search engine in an ASP.NET application is a tool or module that allows users to search for and retrieve specific information from the application's database or other data sources. Search engines can be used to perform full-text search, faceted search, and geospatial search, among other things.
+
+Search engines can be integrated into an ASP.NET application by using libraries or frameworks that provide a .NET client for interacting with the search engine. Some popular search engines that can be integrated with an ASP.NET application include Elasticsearch, Apache Solr, Sphinx, and Microsoft Azure Search.
+
+To learn more, visit the following resources:
+
+- [Search Engine Optimization with ASP.NET](https://learn.microsoft.com/en-us/archive/msdn-magazine/2009/september/search-engine-optimization-with-asp-net-4-0-visual-studio-2010-and-iis7)
+- [Creating an ASP.NET Search Engine](https://www.developerfusion.com/article/4389/create-a-site-search-engine-in-aspnet/)
+- [Simple Search Engine in ASP.NET](https://www.youtube.com/watch?v=KTkubhS-u50)