Category: Artificial Intelligence (AI)
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What Is Edge AI? Edge Computing Examples and Benefits
AI inference is the process of using a trained AI model to generate a prediction, response, or other output from new data. Edge AI runs AI inference on devices or infrastructure close to where…
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AI Stack Consolidation With a Database-as-a-Service
A Database-as-a-Service (DBaaS) is a fully managed data layer that collapses the AI stack into one platform. The concept is simple, but the architecture problem it solves can be extremely complex. If you’re an…
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Vector Database Architecture: What Tech Buyers Should Evaluate
A vector database’s architecture has four layers: embeddings, indexing, retrieval, and storage. How those layers are designed and how well they integrate with your existing data infrastructure determines whether your AI search, semantic search,…
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AI Inference vs. Training: Key Differences
Building an AI strategy is a lot like preparing a student for a career. You have years of intense study, reading, and testing, followed by the actual job where that knowledge is applied to…
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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…
