Category: Best Practices and Tutorials
A Comprehensive Guide to Federated Learning
What is federated learning? Federated learning is a machine learning (ML) approach that enables multiple devices or systems to train a shared model collaboratively without exchanging raw data. Instead of sending data to a central server, each participant, such as...
Semantic Similarity with Focused Selectivity
Why does semantic search need selectivity? Up until now, we’ve viewed a vector embedding as a complete, stand-alone entity – focused entirely on the meaning it encodes. While this enables semantic search, often with a high degree of similarity, it...
Migrate from Capella Free Tier to a Paid Account in 4 Steps
What is the Capella free tier? Couchbase Capella offers a free tier product with a perpetual, no-cost environment for users to explore and experience the capabilities of Couchbase’s NoSQL database platform. This free tier is not constrained by time limits,...
The Importance of Data Preprocessing in Machine Learning (ML)
Data preprocessing is a vital step in machine learning that transforms raw, messy data into a clean and structured format for model training. It involves cleaning, transforming, encoding, and splitting data to improve model accuracy, prevent data leakage, and ensure...
Introducing Couchbase as a Vector Store in Flowise
We’re excited to announce that Couchbase is now officially supported as a vector store in Flowise, providing users with a powerful, high-performance solution for managing and retrieving vector data. This new integration combines Flowise’s intuitive, no-code AI workflow capabilities with...
Supercharge Machine Learning (ML) Applications with Couchbase
Consider this scenario – you are a developer at a fintech company, and one of your users is notified to ask whether they had authorized an international transaction for $1,000. Instead of getting alarmed, the user clicks on the “No”...
How to Ensure Data Integrity for NoSQL Systems
What is data integrity? Data integrity refers to the accuracy, consistency, and reliability of data throughout its lifecycle. It ensures that data remains correct and unaltered as it’s created, stored, transmitted, and modified. In traditional relational databases, integrity is enforced...
Effortlessly Migrate 300k+ Hugging Face Datasets into Couchbase with the IDE Plugin and CLI
Migrating large, complex datasets from Hugging Face to Couchbase just got easier. Whether you prefer working from the command line or within your favorite IDE, our new Hugging Face to Couchbase migration toolkit—featuring the Couchbase VS Code Extension and the...
A New Model for Polyglot Distributed Apps with wasmCloud
Distributed application development has evolved rapidly over the last decade. What began as simple service-to-service communication has grown into complex webs of microservices spanning data centers, cloud environments, Kubernetes clusters, and increasingly, edge devices. These systems are often written in...
Announcing the General Availability of the Couchbase EF Core Provider
The Couchbase EF Core Provider is now generally available. This release brings the power of Entity Framework Core to Couchbase, allowing .NET developers to work with Couchbase using familiar EF Core patterns. What is the Couchbase EF Core provider? Entity...
Couchbase Partners with Arize AI to Enable Trustworthy, Production-Ready AI Agent Applications
As enterprises look to deploy production-ready AI agent applications, Large Language Model (LLM) observability has emerged as a critical requirement for ensuring both performance and trust. Organizations need visibility into how agents interact with data, make decisions, and retrieve information...
Data Migration: Strategy, Best Practices & Tools
SUMMARY Data migration involves transferring data between systems, formats, or storage locations, often during system upgrades or cloud transitions. Types of data migration include storage, database, application, and cloud migration, and strategies include big bang, trickle, and phased approaches, each...