
Couchbase and K2view Partner on Synthetic Data for Building AI Applications
Artificial Intelligence is only as effective as the data it learns from. For many organizations, the challenge isn’t access to data, but access to safe, representative, and adaptable data. That’s where synthetic data comes in. By mimicking the structure and...

Building a Simple Travel Agent Workflow with n8n and Couchbase Vector Search
In this tutorial, we’ll demonstrate how to harness the power of vector search capabilities in Couchbase with n8n’s workflow automation platform. We’ll build a simple travel agent workflow that recommends vacation destinations based on user queries, using vector embeddings to...

What is Real-Time Data? Types, Benefits, and Limitations
What does real-time data mean? Real-time data refers to data that is processed and made available with minimal latency, typically within milliseconds or seconds of creation. It enables systems to react to events as they occur, rather than relying on...

Powering the Future of Apps: Q1 FY26 Customer Highlights
At Couchbase, we’re proud to partner with organizations around the world that are building fast, resilient, and scalable applications. As we kick off fiscal year 2026, Q1 delivered exciting momentum across a diverse mix of industries—from healthcare and energy to...

Optimizing TCO: Automate Cluster Hibernation Using Terraform
Couchbase Capella’s Cluster On/Off feature allows users to pause and resume their clusters seamlessly, without permanently deleting the data, helping optimise cloud expenses and improve operational efficiency. In this blog, we’ll explore how this feature works and how you can...

Epidata and Couchbase: Powering Up Digital Transformation, Together
Epidata, a leading innovation outsourcing and software development company with a presence in Latin America and the U.S., is joining forces with Couchbase, the powerhouse behind modern, user-loved applications. This strategic partnership is set to supercharge how organizations tackle their...

Unlocking the Power of AWS Bedrock with Couchbase
The explosion of generative AI has made vector databases a crucial part of modern applications. As businesses seek scalable and efficient solutions for AI-powered search, recommendation, and knowledge retrieval, AWS Bedrock and Couchbase emerge as a compelling combination. AWS Bedrock...

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...