Category: Couchbase Capella
Migrate Your Existing Agents to Couchbase AI Services
A typical AI agent application in 2025 usually involves: A cloud-hosted LLM A vector database for retrieval A separate operational database Prompt management and tool management tools Observability and tracing frameworks Guardrails Each tool solves a problem. Collectively, however, they...
Event-Driven Data Migration & Transformation using Couchbase Eventing Service
Event-driven migration turns a one-time MongoDB export into a durable transformation pipeline for clean, query-ready data in Capella.
Couchbase 8.0: Unified Data Platform for Hyperscale AI Applications
Couchbase 8.0 combines speed, scale, and flexibility in a single platform that runs anywhere—on-prem, in Capella DBaaS, or at the edge.
Introducing the Fully Managed Couchbase Connector for Confluent Cloud
This launch eliminates the need to manage connector infrastructure, enabling seamless, bi-directional data movement between Confluent Cloud and Couchbase.
Designing a Serverless Data Archiving Pipeline from Couchbase to Cloud Storage
Learn how to build a fully serverless, stateless data archiving pipeline from Couchbase to Amazon S3 using Eventing, API Gateway, SNS, and AWS Lambda.
Why You Only Need Couchbase When Building Your Agents
As the demand for intelligent automation grows, agent-based systems are becoming a key part of modern AI strategies.
Building a Simple Travel Agent Workflow with n8n and Couchbase Vector Search
Build a travel agent chatbot with n8n and Couchbase Vector Search using semantic search and workflow automation.
Optimizing TCO: Automate Cluster Hibernation Using Terraform
Cut cloud costs with Couchbase Capella’s Cluster On/Off feature. Learn how to automate hibernation schedules using Terraform in this step-by-step guide.
AI Agents: The Protocol Revolution Driving Next-Gen Enterprise Intelligence
With Model Context Protocol, Agent Communication Protocol and Agent to Agent Protocol signals a new era where agents can effectively collaborate.
Unlocking the Power of AWS Bedrock with Couchbase
In this blog, we explore how Couchbase’s vector store, when integrated with AWS Bedrock, creates a powerful, scalable, and cost-effective AI solution.
Migrate from Capella Free Tier to a Paid Account in 4 Steps
Migrate from Couchbase Capella’s free tier to a paid plan in 4 steps. Back up your data, restore it to a new cluster, and keep your application running smoothly.
Introducing Couchbase as a Vector Store in Flowise
Integrate Couchbase as a high-performance vector store in Flowise. Upsert data, run vector searches, and build AI applications with this no-code solution.
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