Category: Best Practices and Tutorials
How to Clone Couchbase Clusters for CI/CD On-Demand Ephemeral Environments
We share scripts and a practical approach to clone all buckets of a cluster, a specific bucket, scope, or collection, from one Couchbase cluster to another.
What is Prompt Engineering? Techniques, Examples, and Tools
Learn what prompt engineering is, with key techniques, examples, and tools to create more accurate, effective prompts for AI models.
How I Built a Plant RAG Application with Couchbase Vector Search on iOS
Everything runs on-device using Couchbase vector search. No internet required, no photos sent to servers, just pure local plant identification magic.
Framework vs. Platform: Key Differences and When to Use Each
Learn the difference between frameworks and platforms, with examples and guidance on when to use each in software development.
High Availability vs. Fault Tolerance: Key Differences
Compare high availability and fault tolerance, and learn how each architecture minimizes downtime and prevents service disruptions.
Couchbase Integration with Hyperledger Fabric: A Technical Deep Dive
What is Couchbase? Couchbase is a distributed NoSQL document database that provides a flexible, high-performance, and scalable data management solution. It combines the best features of document databases with key-value stores, making it well-suited for modern application development.
Vector Database vs. Graph Database: Differences & Similarities
Explore the differences and similarities between vector and graph databases, and learn which is best for your desired use case.
What is Real-Time Data? Types, Benefits, and Limitations
Real-time data is information that is collected, processed, and delivered immediately or within milliseconds of being generated. Learn more about it here.
Optimizing TCO: Automate Cluster Hibernation Using Terraform
Cut cloud costs with Couchbase Capella’s Cluster On/Off feature. Learn how to automate hibernation schedules using Terraform in this step-by-step guide.
A Comprehensive Guide to Federated Learning
Federated learning is an approach to machine learning that enables data privacy and security by training models across decentralized devices.
Semantic Similarity with Focused Selectivity
Discover how selective pre-filtering enhances semantic similarity search in Couchbase by combining vector and metadata queries.
Migrate from Capella Free Tier to a Paid Account in 4 Steps
Migrate from Couchbase Capella’s free tier to a paid plan in 4 steps. Back up your data, restore it to a new cluster, and keep your application running smoothly.
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