Category: Couchbase Capella

Designing a Serverless Data Archiving Pipeline from Couchbase to Cloud Storage

Designing a Serverless Data Archiving Pipeline from Couchbase to Cloud Storage

In modern data-driven applications, retaining historical documents is essential for compliance, auditing, and cost optimization. However, keeping all data indefinitely in your primary operational database is often unsustainable and expensive. In this blog post, I’ll walk you through building a...

Why You Only Need Couchbase When Building Your Agents

Why You Only Need Couchbase When Building Your Agents

Agents are intelligent systems powered by large language models (LLMs) that can autonomously perform tasks, make decisions, and interact with users or other systems. Unlike traditional software, agents can understand natural language inputs, determine what actions to take, and use...

Building a Simple Travel Agent Workflow with n8n and Couchbase Vector Search

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

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

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

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

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

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

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

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

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

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...