Compound text search criteria

Full-text search and regular database querying exhibit distinct usage patterns. Full-text search solutions primarily scan and retrieve unstructured data, such as paragraphs of text, by analyzing the semantics and frequency of terms, using elaborate algorithms to rank relevance and handle synonyms or related phrases. On the other hand, regular database querying usually targets highly structured data, leveraging precise field-based value matching to identify and retrieve records. In this example, you will develop an aggregation pipeline to execute an Atlas-based full-text search on a collection of documents.

Scenario

You want to search a collection of e-commerce products for specific movie DVDs. Based on each DVD's full-text plot description, you want movies with a post-apocalyptic theme, especially those related to a nuclear disaster where some people survive. However, you aren't interested in seeing movies involving zombies.

Note

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