Tag: full text search

Enable AI-driven insights using Couchbase: a practical framework

Chris Galy, Chief People Officer at Couchbase, explained in an article you can find with a quick Google search that our mission is about channeling our passion to solve hard problems so our customers can innovate and change the world....

Web console(s) for Full-Text Indexes

This article highlights new features and certain enhancements in the web console for Couchbase’s Full-Text Search service to configure and search indexes as Couchbase server moves to supporting collections with the 7.0 release. Full-Text Search (FTS) refers to techniques for...

Flex Index is Amazing

Announcing Flex Index With Couchbase

Flex Index Explained What is a Flex Index? One of the key tasks of a database engine is how to efficiently manage the search and retrieval of the data therein. The efficiency and balance between resource consumption and performance are...

/ August 12, 2020

Text Analysis within a Full-Text Search Engine

Full-Text Search refers to techniques for searching text content within a document or a collection of documents that hold textual content. A Full-Text search engine examines all the textual content within documents as it tries to match a single search...

Couchbase Intro for MongoDB Developers and NoSQL Experts

Six thousand years ago, the Sumerians invented writing for transaction processing — Gray & Reuter By any measure, MongoDB is a popular document-oriented JSON database. In the last dozen years, it has grown from its humble beginnings of a single...

/ April 25, 2020

FTS and N1QL: Better Performance Querying Multiple Arrays

Introduction Couchbase Full Text Search (FTS) is a great fit for indexing multiple arrays and executing queries with multiple filter predicates in arrays.  In this article, I’ll demonstrate the advantages of using FTS over GSI (Global Secondary Index) for array...

Full Text Search Indexing Best Practices by Use Case

Introduction Full text search (FTS) indexing can be challenging for those who are not familiar with search in general.  In this post, we’ll take some common search use cases and work through the creation of appropriate indexes following best practices...

Search & Rescue: 7 Reasons N1QL (SQL) developers use Search

People don’t want a four key index.  They need a four-ms response. Ted Levitt Application development is demanding. Each application is trying to progress on behalf of the customer — searching for the right product or the right form, ordering,...

/ April 22, 2019

Searching JSON: compare text search in Couchbase and MongoDB.

“Apps without search is like Google homepage without the search bar.” It’s hard to design an app without a good search.  These days, it’s also hard to find a database without a built-in search. MySQL to NoSQL, Sybase to Couchbase,...

/ December 21, 2018

N1QL & SEARCH: Leverage Full-Text Search (FTS) Index in N1QL

With Couchbase v6.5, Full-Text Search is now integrated into the Couchbase N1QL query construct. Customers can now leverage FTS indexes directly with N1QL. This provides developers a single API to combine N1QL exact predicate matching and FTS powerful searching. The...

/ December 11, 2018