Category: Artificial Intelligence (AI)
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A Benchmark for Evaluating NL2SQL++ Systems
In the modern data ecosystem, natural language to code capabilities are becoming paramount, with JSON rapidly emerging as the lingua franca for communication with large language models (LLMs). At Couchbase, we work with this…
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What Is an AI-Powered Recommendation Engine?
What are AI recommendation engines? AI recommendation engines are systems that use AI to analyze data and user behavior to predict and suggest content, products, or actions relevant to each individual user. In basic…
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An Overview of Vision Language Models (VLMs)
What are vision language models? Vision language models are AI systems designed to understand and reason across both visual and textual data. Unlike traditional computer vision (CV) models that only analyze images, or large…
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AI in Customer Service: Benefits, Examples, Use Cases
What is AI in customer service? AI in customer service refers to technologies that automate and personalize customer interactions using tools like chatbots, virtual assistants, and intelligent analytics. This doesn’t mean replacing human agents…
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Codelab: Building an AI Agent With Couchbase AI Services & Agent Catalog
In this CodeLab, you will learn how to build a Hotel Search Agent using LangChain, Couchbase AI Services, and Agent Catalog. We will also incorporate Arize Phoenix for observability and evaluation to ensure our…
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Capella AI Services: Build Enterprise-Grade Agents
Production-Ready AI Agents Building agentic AI applications that can make real business decisions is a complex undertaking. Developers often find themselves juggling multiple disparate tools to manage different data types, ensure data privacy, and…
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Enterprise AI: The Ecosystem Behind Couchbase AI Services
Powering Enterprise-Ready Agentic AI with Security, Governance, and End-to-End Innovation As we announce the General Availability of Couchbase AI Services, we’re also taking a significant step toward enabling enterprise-grade agentic AI by growing and…
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Building Multi-Agent AI Workflows with Couchbase Capella AI Services
A Step-by-Step Guide Using CrewAI and Capella AI Services In this tutorial, you will learn how to build a sophisticated multi-agent AI system that generates creative content using Couchbase Capella AI Services for storing…
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A Complete Guide to the AI App Development Process
AI app development involves building intelligent systems that can learn, adapt, and make decisions based on data rather than relying solely on fixed rules. These applications power personalization engines, predictive analytics, natural language processing…
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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…
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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…
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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…