Category: Couchbase Server
Vector Store vs. Vector Database: Differences and Similarities
What is a vector store? A vector store is a specialized type of data management system designed to store and retrieve vector embeddings. Think of it as a lightweight library or feature, often integrated within a larger system, primarily focused...
Couchbase’s Data API in Practice With NodeRed
Couchbase Capella has a new Data API. If you’re wondering why it is important since we already have SDKs, the answer is addressed in our documentation – but here’s a quick comparison: Data API: HTTP, language, and runtime agnostic; easy...
Build a Rate Limiter With Couchbase Eventing
Introduction Couchbase Server 8.0 introduces a new Eventing function handler called OnDeploy that allows customers to run business logic during Eventing function deployment or resumption without requiring any external mutation to trigger it. Earlier, customers with use cases that needed...
Chatbots for Retail: Types, Use Cases, and Examples
From customer support to sales, learn how retail chatbots reshape the buyer journey with practical use cases and examples.
Increasing the Trust of Your AI Applications
As companies explore advancing probabilistic AI applications from experimentation to mission-critical enterprise systems, trust has become a critical factor for success. Organizations face growing challenges in building, scaling, and managing AI – ranging from fragmented architectures and data silos to...
Talk to Your Data: A UDF That Speaks Your Language
[crayon-69bd1261f35b5163364134/] The query above provides valuable insights from your data that’s stored in Couchbase about your top five users who generated the most completed orders within the past 30 days. But what if you’re not an advanced SQL++ developer and...
Semantic Search vs. Keyword Search: What’s the Difference?
When you search for something online, you expect the search engine to understand what you mean, not just what you type. You want it to grasp the context, the nuance, and the intent behind your query. This is the core...
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.
Bulk Get Documents in Couchbase using Reactive or Asynchronous API
Introducing a reactive approach at the Couchbase CRUD layer alone can deliver meaningful gains, leading to better resource efficiency and scalability.
A Guide to AI Data Management
Discover best practices, tools, and strategies for AI data management to ensure quality, compliance, and scalability in AI-driven initiatives.
How to Clone Couchbase Clusters for CI/CD On-Demand Ephemeral Environments
We share scripts and a practical approach to clone all buckets of a cluster, a specific bucket, scope, or collection, from one Couchbase cluster to another.
Top Posts
- Data Modeling Explained: Conceptual, Physical, Logical
- Data Analysis Methods: Qualitative vs. Quantitative Techniques
- What are Embedding Models? An Overview
- What are Vector Embeddings?
- A Breakdown of Graph RAG vs. Vector RAG
- What Is Data Analysis? Types, Methods, and Tools for Research
- Semantic Search vs. Keyword Search: What’s the Difference?
- Application Development Life Cycle (Phases and Management Models)
- A Guide to Vector Search
