"Sitecore Search" as one of the products of the Sitecore Composable world, is a headless content discovery platform that lets you create predictive and personalized search experiences across multiple content sources. Like any other SaaS product, this can be used in building a Search experience in any way we want. Generally, there is Good Architecture and a Not so Good Architecture, while building applications using products. And the key difference between the two is how much more extensible and maintainable a solution is in comparison to the other.
In this session, we will be leveraging the power of Sitecore Connect to retrieve data/documents from multiple sources such as One-Drive, Google-Drive, Dropbox, and Box. Thereafter, we will extract metadata from these documents and aim to clean, and model it. Data collected will be then pushed to Sitecore Search using Push API Source through Ingestion API’s.
As the data is now set in the sources of Sitecore Search, what is pending now is, utilizing it in a front facing website. On the website, there will be various faceting and filtering options available to foster relevant search results. The configuration of the search options will be managed through settings on XM-Cloud. And the results will be visible on the search results page sorted according to Textual Relevance.
Bonus: Thinking of a scenario, where a company already has an existing middleware for extracting data from these Drive sources. Our crucial value addition then would be as how the same middleware can be leveraged to push data to Sitecore Search through Push API, in parallel to the data coming from Sitecore Connect. In addition to this, we will be covering how to fetch personalized results and display on the website, with the help of Search and Recommendation API.