Querying a database with SQL or a similar technology is great until you find yourself needing to query natural language. Do you degrade the performance of your queries with wildcards? How about searching across multiple columns or properties? What happens when you need to score results based on their match accuracy? Couchbase Full Text Search (FTS) shines when it comes to querying unstructured data in comparison to standard querying.
When an organization has a virtual ocean of structured and unstructured data, it can be extremely frustrating for users to determine the best search terms to search that data, and then to sort through a long list of nonrelevant results. Couchbase FTS resolves both problems by automatically including all relevant variations of a user's search term and then using results scoring to return only the results the user was most likely looking for.
Attend this webinar to explore how to use the Couchbase open source NoSQL database for some FTS basics, such as indexing, facets, and querying, and then see how to implement them in Node.js.