Category: Best Practices and Tutorials
Building an AI Agent with Couchbase MCP and cagent
By making AI Agent development as simple as writing a YAML file, cagent makes it intuitive to build AI applications.
How to Calculate TCO for NoSQL Databases
Learn how to calculate total cost of ownership (TCO) for NoSQL databases, including all hidden expenses, to make smarter cost-saving decisions.
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.
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