Category: Agentic AI Applications
-
Agentic RAG Explained
SUMMARY Agentic retrieval-augmented generation (RAG) extends traditional RAG by adding an autonomous agent that can reason, plan, and take actions to achieve a goal rather than relying on a single retrieval step. Unlike standard…
-
PatientIQ: Building a Patient 360 on Couchbase
What Is PatientIQ and Why Build it? PatientIQ is an agentic patient 360 built using Couchbase Capella AI Services. It is one example of a solution to a problem that we are trying to…
-
Optimizing Multi-Agent AI Systems With Couchbase
In a previous post, Building Multi-Agent AI Workflows With Couchbase Capella AI Services, we explored how collaborative AI agents can be designed and orchestrated using Capella AI Services, Vector Search, and RAG patterns. As…
-
What Are My AI Agents Doing? How to Gain Insight and Control.
AI agents are no longer simple chatbots – they’re autonomous problem solvers. They call tools, orchestrate workflows, and can make decisions on behalf of users. That power can unlock huge value, but it also…
-
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…
-
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…
-
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…
-
Unleash Real-Time Agentic AI With Streaming Agents on Confluent Cloud and Couchbase
We’re thrilled to be partnered with Confluent today as they announce the new features for Streaming Agents on Confluent Cloud and a new Real-Time Context Engine. Unifying data processing and agentic AI workflows, Streaming…
-
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…
-
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…