Category: Search
Top Blogs of 2021 – Part 1
Part 1 in our 2 part blog series where we count down the top 10 blog posts published this year on the Couchbase blog.
How Does Couchbase Capella™ Compare With Azure CosmosDB
Couchbase Capella offers unmatched speed, reliability, scalability, & flexibility with the capacity to include other Couchbase services.
Level Up Your Data Visualization with Charts in Couchbase 7.0.2
Visualize your data with ease by using the new Charts feature in Couchbase Query Workbench 7.0.2 with options for scatter, line, area, bar and pie charts.
What Is a (DBaaS): The Importance of Database-as-a-Service
Learn what a Database-as-a-Service is & why it’s a game-changer for cloud-based data management. See how it enables organizations to focus on innovation.
How to Build Indexes for Full-Text Search in Couchbase 7.0
This post provides an overview on how to build indexes in Couchbase and walk through creating a full-text index via the new Couchbase Quick Editor.
How to Add Full-Text Search Functionality to Your JavaScript App
Find out how to add full-text search functionality to your JavaScript App. This will allow you to find the JSON documents containing the text you need.
The N1QL Query Language Now Has a Per-Request Memory Quota
Learn all about the new per-request memory quota – along with a few other memory control settings – now available in the N1QL Query Service of Couchbase 7.0.
How to Use Full-Text Search across Couchbase Scopes & Collections
Read how to index your Couchbase data for better search performance using Scopes and Collections – new in 7.0 – and how your FTS queries improve at scale.
Announcing Couchbase Server 7.0
Discover how Couchbase Server 7.0 delivers the strengths of RDBMS and the flexibility of NoSQL for enterprise applications built for bottom-line results.
How (and Why) to Use Couchbase as an XML Database
Find out how to use Eventing to transform Couchbase into an XML-capable database. This may sound too good to be true but trust us - it really does work!
How to Use Couchbase as a Machine Learning Model Store [Part 2 of 2]
Learn how to use the Couchbase Data Platform as a ML model store – using binary or JSON – to meet the performance requirements of online machine learning.
Top Posts
- Data Modeling Explained: Conceptual, Physical, Logical
- Data Analysis Methods: Qualitative vs. Quantitative Techniques
- What are Embedding Models? An Overview
- What are Vector Embeddings?
- A Breakdown of Graph RAG vs. Vector RAG
- Semantic Search vs. Keyword Search: What’s the Difference?
- What Is Data Analysis? Types, Methods, and Tools for Research
- Application Development Life Cycle (Phases and Management Models)
- A Guide to Vector Search