Category: Couchbase Capella
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...
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...
AI Agents: The Protocol Revolution Driving Next-Gen Enterprise Intelligence
As protocol standards mature, are enterprises ready for agentic AI? There has been significant progress in AI in terms of generative AI (GenAI), agentic AI and growing interest in physical AI. While hardware, software, frameworks and AI ecosystems are rapidly...
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...
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,...
Introducing Couchbase as a Vector Store in Flowise
We’re excited to announce that Couchbase is now officially supported as a vector store in Flowise, providing users with a powerful, high-performance solution for managing and retrieving vector data. This new integration combines Flowise’s intuitive, no-code AI workflow capabilities with...
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”...
ICYMI: Couchbase Accelerates Innovation From AI to Edge With Latest Releases
In case you missed it, Couchbase has been making waves across the industry with two recent announcements: a Capella AI Services integration with NVIDIA NIM and the new Couchbase Edge Server. As organizations continue their journeys in elevating user experiences...
Effortlessly Migrate 300k+ Hugging Face Datasets into Couchbase with the IDE Plugin and CLI
Migrating large, complex datasets from Hugging Face to Couchbase just got easier. Whether you prefer working from the command line or within your favorite IDE, our new Hugging Face to Couchbase migration toolkit—featuring the Couchbase VS Code Extension and the...
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...
Announcing the General Availability of the Couchbase EF Core Provider
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...
Replacing MongoDB Realm? Offline-First App Use Cases with Couchbase Mobile
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...