Category: Connectors
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...
Introducing Couchbase as a Vector Store in Agno
We’re excited to announce that Couchbase is now supported as a vector store in Agno. This integration brings together the best of Agno’s agent orchestration capabilities and Couchbase’s high-performance, scalable vector store. It allows developers to build intelligent, multi-agent systems...
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...
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...
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”...
Introducing Model Context Protocol (MCP) Server for Couchbase
The cornerstone of autonomous AI Agentic systems and GenAI applications is an “Augmented LLM”, which is defined as an LLM enhanced with augmentations from various data sources and knowledge bases. Since its introduction, there has been a lot of buzz...
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...
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...
MongoDB to Couchbase – Migrations Tips
So you are considering moving from MongoDB to Couchbase. We think that is a great idea, but we get it, you want to know how much work it will be and is it worth it. The answer for both is,...
Build Highly Scalable AI/ML Applications With Couchbase and PySpark
We are excited to announce the General Availability (GA) of the Python support for Couchbase Spark Connector, bringing first-class integration between Couchbase Server and Apache Spark to Python data engineers. This GA release means the connector is production-ready and fully...
Couchbase and NVIDIA Team Up to Help Accelerate Agentic Application Development
Capella AI Services alongside NVIDIA AI Enterprise Couchbase is working with NVIDIA to help enterprises accelerate the development of agentic AI applications by adding support for NVIDIA AI Enterprise including its development tools, Neural Models framework (NeMo) and NVIDIA Inference...