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 […] The post Introducing Model Context Protocol (MCP) Server for Couchbase appeared first on The Couchbase Blog.
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 […] The post A New Model for Polyglot Distributed Apps with wasmCloud appeared first on The Couchbase Blog.
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 […] The post Announcing the General Availability of the Couchbase EF Core Provider appeared first on The Couchbase Blog.
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 […] The post Couchbase Partners with Arize AI to Enable Trustworthy, Production-Ready AI Agent Applications appeared first on The Couchbase Blog.
If you’re a mobile developer using MongoDB for offline first mobile apps, you already know they have announced the deprecation of their mobile capabilities, namely, Atlas Edge Server, Atlas Device Sync, and Atlas Device SDKs (formerly known as Realm). These […] The post Replacing MongoDB Realm? Offline-First App Use Cases with Couchbase Mobile appeared first on The Couchbase Blog.
