Category: Artificial Intelligence (AI)
-
Couchbase 8.0: Unified Data Platform for Hyperscale AI Applications
AI is reshaping how we build and run modern applications. From real-time recommendations to agentic assistants, teams need data platforms that can keep up with new performance and flexibility demands. That’s what Couchbase 8.0…
-
Grounding AI: Why Data Foundations Decide Who Wins
Generative AI work is underway at most organizations, yet data foundations are uneven. Couchbase commissioned an independent market survey from UserEvidence of 619 product, engineering, data, and AI professionals that shows strong confidence and…
-
Agentic Workflows vs AI Agents
Agentic AI offers two approaches to achieving automation: agentic workflows, which embed AI into predefined processes for much more predictable outcomes, and AI agents which autonomously plan, execute, and iterate towards a goal. Choosing…
-
Optimizing AI Workflows with a Human in the Middle
Artificial intelligence (AI) and generative AI (GenAI) are becoming increasingly essential for organizations seeking to build applications that are fast, reliable, interactive in real time, and context-aware. Yet, some organizations are falling behind as…
-
Reinventing the Future of Media and Entertainment with AI and Couchbase
The media and entertainment industry is undergoing a seismic shift. Traditional methods for content delivery, audience engagement, and operational efficiency are no longer enough to keep up with the growing demands of consumers. The…
-
Building an AI Agent with Couchbase MCP and cagent
The AI landscape is rapidly transitioning from simple chatbots to AI agents that can plan, reason, and execute tasks autonomously. At the forefront is Docker cagent – a powerful, easy-to-use, multi-agent runtime that’s democratizing…
-
Building Production-Ready AI Agents with Couchbase and Nebius AI (Webinar Recap)
In a recently covered live stream featuring Shivay Lamba, Developer Evangelist at Couchbase, and Dylan Bristot, New Product Marketing Manager at Nebius AI Studio. They covered what are the building blocks for building AI…
-
Securing Agentic/RAG Pipelines with Fine-Grained Authorization
Over the previous 3 years, the AI landscape has gone through a massive transformation. We’ve gone from basic language models to full-fledged AI Agents that can take action on our behalf in just a…
-
How I Built a Plant RAG Application with Couchbase Vector Search on iOS
You know that feeling when you see a beautiful plant at the store but have no idea what it is or how to care for it? That’s exactly what happened to me last spring,…
-
Evaluating Agentic AI Workflows
Agents and agentic pipelines are being built and released at an accelerated pace like never before. But how can we determine how good they are? Why evaluating AI agents matter Think of an AI…
-
Announcing Couchbase Support in Google’s MCP Toolbox for Databases
Unlock real-time access for AI agents with SQL++ and the Model Context Protocol (MCP) As autonomous AI agents become more powerful and pervasive, developers need ways to securely and reliably connect these agents to…
-
Polaris: AI-Powered Conversational Data Intelligence for the Enterprise Through a Multi-Agent Architecture
In today’s fast-paced environment, the ability to swiftly access, understand, and act upon data is no longer a luxury , it’s a necessity. However, many organizations find that while they are rich in data, deriving…