What are embedding models? Embedding models are a type of machine learning model designed to represent data (such as text, images, or other forms of information) in a continuous, low-dimensional vector space. These embeddings capture semantic or contextual similarities between...
In modern distributed systems, the ability to replicate data between separate environments is crucial for ensuring high availability, disaster recovery, and performance optimization. Couchbase’s XDCR (Cross Data Center Replication) feature allows seamless replication of data between clusters, enabling robust data...
What is Data Chunking? Data chunking is a technique that breaks down large datasets into smaller, more manageable chunks. It’s crucial to artificial intelligence, big data analytics, and cloud computing because it optimizes memory usage, speeds up processing, and improves...
Businesses rely on real-time insights into operational data to stay competitive and responsive. Operational data—generated from customer interactions, IoT devices, transactions, and more—is essential for understanding and acting on the dynamics of day-to-day operations. When this data is enriched with...
We’re excited to announce the new integration between Couchbase and Dify.ai, bringing Couchbase’s robust vector database capabilities into Dify’s streamlined LLMops ecosystem. Dify empowers teams with a no-code solution to build, manage, and deploy AI-driven workflows efficiently. Now, with Couchbase...
There is a good chance you encounter vector search regularly, even if you are not building applications with it. Discovering content recommendations based on previous liked content is a common use case of vector embeddings, and one that many of...
During our recent third quarter fiscal 2025 earnings call, we were proud to share the great momentum we saw with expansions and new logos for both Couchbase Enterprise and Capella. We saw exciting customer wins across several industries, including government,...
We’re thrilled to announce that Couchbase Capella™, our industry-leading developer data platform architected for critical applications in our AI world, has been awarded the 2024 UK IT Industry Award for Cloud Innovation of the Year. This award recognizes Capella’s ability...
As artificial intelligence continues to permeate various sectors, companies are increasingly looking at how they can develop, deploy, and scale AI agents to automate tasks, enhance user experiences, and drive innovation. These AI agents, powered by advanced language models and...
In the Digital Economy, retail and eCommerce companies compete based on customer experience and operational efficiency – customers expect personalized engagements, relevant information, and instant gratification, but their expectations have to be met while reducing operational costs and time to...
Ever wish you had a digital helper who could handle repetitive tasks, help brainstorm, or even answer questions for you? Enter AI agents: these clever, goal-driven programs are designed to work alongside us, tackling everything from generating content to managing...
In today’s data-driven business environment, teams across all functions rely on complex datasets to guide their decision-making. However, raw data alone often doesn’t reveal clear insights, and manually analyzing large datasets can be both time-consuming. Introducing Capella iQ Insights, a...
