Learn how to work with facets in Full Text Search (FTS) using Couchbase NoSQL and Node.js in this video tutorial.
Learn more about what is new for FTS in this Couchbase 4.5 Developer Preview Release. Check the new features include Type Mapping, Sort, and Backend.
Learn the significant improvements in Full-Text Search (FTS) in Couchbase Server 4.6 : Performance ImprovementsIndex Type Mapping By KeyCustom Sorting.
I recently wrote about using Full Text Search (FTS) in a Node.js application that makes use of Couchbase Server 4.5 and higher. As you may know, FTS is available as Developer Preview starting in Couchbase Server 4.5. This is huge...
Learn how to use full text search in a Node.js application using the Node.js SDK for Couchbase Server and what all you should already have installed.
The Couchbase .NET SDK 2.2.8 is released which consists of bug fixes and Developer Previews (DP) for upcoming features in support of Couchbase Server 4.5.
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...
This is the second blog post of a multi-part series exploring composite vector indexing in Couchbase, check out the first post here. The series will cover: Why composite vector indexes matter, including concepts, terminology, and developer motivation. A Smart Grocery...
In this tutorial, you will learn how to build a retrieval-augmented generation (RAG) application using Couchbase AI Services to store data, generate embedding using embedding models, and LLM inference. We will create a RAG system that: Ingests news articles from...
Event-driven migration turns a one-time MongoDB export into a durable transformation pipeline for clean, query-ready data in Capella.
Traditional approaches to content delivery and audience engagement are no longer sufficient to meet the expectations of today’s consumers.
Discover best practices, tools, and strategies for AI data management to ensure quality, compliance, and scalability in AI-driven initiatives.