Considering other cognitive services commonly used in KM

In Chapter 5, Azure Cognitive Search Overview and Implementation, we gave a good overview of the capabilities available in the cognitive search tool when deploying the next-generation search solution using AI enrichments. Although Microsoft provides an extensive list of capabilities when building your KM solution natively to Cognitive Search, we recognize there are situations when other features are required to build your most effective solution. In this section, we are going to explore some other scenarios where we may want to process documents and other media further to add even more enrichment. This is done so by adding a custom skill to an enrichment pipeline within the Cognitive Search indexing process. Beyond adding other cognitive services as custom skills, you can also choose to use your own ML model that you have developed for one of the skills already included within the AI enrichments. There were frequently such cases...