Enterprise Search with Azure Cognitive Search – A Beginner’s Guide
Azure Cognitive Search is a PaaS search engine, which serves as a solid and great foundation for search and search-based applications. It offers a high degree of flexibility in configuring ranking and scoring models, linguistics, as well as query and content processing. Due to this flexibility, it is often used as a search engine for enterprise search and here we will briefly explain how to get started.
Azure Cognitive Search as a Foundation for an Enterprise Search
Digital workplaces offer their embedded and built-in search engines, such as Microsoft Search as the search experience for Microsoft 365. If such search experiences do not satisfy your business requirements, there are good reasons to choose an external search engine.
Such an external search engine can be Azure Cognitive Search. Azure Cognitive Search is a scalable search engine and has been offered as platform as a service for a decade already. It generally runs in failover setups and is capable of indexing millions of documents, in particular for enterprise search scenarios. However, as it is just the search engine as a core, you need to integrate some components around it.
An enterprise search based on Azure Cognitive Search comprises the following components:
- Displaying search results. A search interface, which displays the search results, offers verticals, filters, result blocks, a type-ahead and more. This is also where in enterprise search scenarios users need to authenticate against.
- Indexing data. Connectors are responsible for crawling documents and data from the content sources, which should be indexed.
- Security trimming and secure search. A security token store, such as the Raytion Custom Security Manager, is needed to implement secure search or security trimming, respectively.