Discover four key AI predictions for 2025 that will shape enterprise strategy, including the rise of hybrid AI models and evolving data architectures. Read more!
In this article, we will touch on some practical examples starting with N1QL queries using GSI Indexes and simulate a dataset that over time grows not just with document size, but the actual document structure growing as well. Couchbase Server makes flexible...
Learn the advantage of using FTS over GSI for array indexing with an example that requires querying multiple arrays with MongoDB in operator performance.
Topics this article will cover What’s good with N1QL? What about FTS? But why FTS within N1QL? Basic N1QL+FTS queries Deploying N1QL+FTS Syntax(es) Abilities & limitations N1QL+FTS Internals Covered-index vs Non-covered-index queries More N1QL+FTS query examples What’s next? 1. Couchbase’s...
Couchbase FTS Index management and debugging tips for text analysis debugging or on any under sizing signposts to help you manage the indexes effectively.
We already discussed how the Like % clause is potentially harmful for your application at scale, and why you should consider using Couchbase Full-Text Search instead. One thing we haven’t mentioned yet is why you might prefer Couchbase FTS over any...
FTS performance improvements through gRPC for scatter gather , and with numeric range queries and wildcard/regex queries in 6.5.0
FTS performance improvements on geo queries, fuzzy/edit distance queries, levenshtein automaton, FSTs, bounded rectangle, point distance queries.
With Couchbase 6.5 Full Text Search is now available through N1QL queries - the single API combines N1QL exact predicate and powerful FTS matching.
This post focuses on the Inverted Index and also explore how analyzers, tokenizers, and filters might shape the result of your searches.
This article focuses on why one should avoid using LIKE % for search and also check out why FTS is so much better than “Like %.
Couchbase Mobile 2.0 brings us powerful Full text Search (FTS) capabilities of your JSON Documents. This post walks you through several use cases.
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