Categoria: Artificial Intelligence (AI)
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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…
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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…
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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…
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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…
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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…
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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,…
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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…
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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…
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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…
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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…
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Vector Database vs. Graph Database: Differences & Similarities
What is a vector database? A vector database is a type of database designed to store, index, and search high-dimensional vector representations of data, typically generated by machine learning models. These vectors, also known…
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Couchbase and K2view Partner on Synthetic Data for Building AI Applications
Artificial Intelligence is only as effective as the data it learns from. For many organizations, the challenge isn’t access to data, but access to safe, representative, and adaptable data. That’s where synthetic data comes…