Category: Couchbase Server
Speed, Context, and Savings: Mastering Caching in the Capella AI Model Service
In the rapidly evolving landscape of generative AI, organizations face a persistent “triple threat”: high latency, unpredictable costs, and the loss of conversational context. Every redundant call to a large language model (LLM) is a missed efficiency opportunity. At Couchbase,...
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-69d449244050f943428640/] 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.
Top Posts
- Build a Celebrity Look-Alike App With Multimodal Vector Search an...
- Filtered ANN Search With Composite Vector Indexes (Part 4)
- Data Modeling Explained: Conceptual, Physical, Logical
- What are Embedding Models? An Overview
- Speed, Context, and Savings: Mastering Caching in the Capella AI...
- Data Analysis Methods: Qualitative vs. Quantitative Techniques
- Application Development Life Cycle (Phases and Management Models)
- What Is Data Analysis? Types, Methods, and Tools for Research
- A Breakdown of Graph RAG vs. Vector RAG
