Category: Connectors
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...
Introducing Couchbase as a Vector Store in MindsDB
We’re thrilled to announce that Couchbase is now supported as a vector store in MindsDB, bringing together the best of both worlds: MindsDB’s cutting-edge machine learning capabilities and Couchbase’s high-performance vector storage. With this new integration, users can seamlessly combine...
Adding External RBAC to Couchbase Data Using Permit.io
As web applications grow in complexity, ensuring that only the right users have access to your Couchbase data is essential. Without a well-defined access control system, unauthorized users may access sensitive information or perform harmful actions. Integrating Permit with Couchbase...
Couchbase Wrapped 2024 Developer Edition
The year end is once again upon us, the perfect time to celebrate what we’ve accomplished together as a community of developers. This wrap reel is not designed to be complete, but rather to cherry pick some highlights. Our developer...
Unlocking Real-Time Insights with Confluent Cloud and Couchbase Capella Columnar
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...
Couchbase + Dify: High-Power Vector Capabilities for AI Workflows
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...