Category: Search

Supercharge Your RAG application With Couchbase Vector Search and Unstructured.io
Supercharge Your RAG application With Couchbase Vector Search and Unstructured.io

Announcing the Couchbase and Unstructured.io connector—quickly convert unstructured data into JSON and vector embeddings for seamless integration into your RAG pipeline.

Preparing Datasets for Fine-Tuning ML Models: A Comprehensive Guide
Preparing Datasets for Fine-Tuning ML Models: A Comprehensive Guide

Create high-quality datasets for fine-tuning models with this guide on data gathering, text extraction, and instruction file generation.

Part 2 – AI in Action: Enhancing and Not Replacing Jobs
Part 2 – AI in Action: Enhancing and Not Replacing Jobs

Couchbase, Vonage, and OpenAI to build an AI-driven customer support app. Part 2 covers coding the business logic and connecting the services.

Uma Alternativa Melhor ao MongoDB Atlas Device Sync/Atlas Device SDKs (antigo Realm): Couchbase Mobile
Uma Alternativa Melhor ao MongoDB Atlas Device Sync/Atlas Device SDKs (antigo Realm): Couchbase Mobile

Enquanto o MongoDB encerra o suporte móvel, o Couchbase Mobile oferece uma solução confiável e escalável para aplicativos offline-first com suporte a IA.

Enhancing Performance Using XATTRs for Vector Storage and Search
Enhancing Performance Using XATTRs for Vector Storage and Search

Couchbase XATTRs store vector data efficiently, improving performance by keeping bulky content out of query paths. Here's how XATTRs work with search.

AI in Action: Enhancing and Not Replacing Jobs
AI in Action: Enhancing and Not Replacing Jobs

Build a Ruby on Rails app integrating Vonage, Couchbase, and OpenAI for customer support, improving agent workflows with vector search and WhatsApp.

From Concept to Code: LLM + RAG with Couchbase
From Concept to Code: LLM + RAG with Couchbase

Learn how to build a generative AI recommendation engine using LLM, RAG, and Couchbase integration. Step-by-step guide for developers.

Building a Path to Edge AI for Vector Search, Image, and Data Focused Applications
Building a Path to Edge AI for Vector Search, Image, and Data Focused Applications

Couchbase integrates AI, vector search, and edge computing to enhance customer experiences with fast, reliable, and real-time data processing at the edge.

Your Alternative To MongoDB Atlas Device Sync & Atlas Device SDKs (formerly Realm): Couchbase Mobile
Your Alternative To MongoDB Atlas Device Sync & Atlas Device SDKs (formerly Realm): Couchbase Mobile

While MongoDB ends mobile support, Couchbase Mobile offers a reliable, scalable solution for offline-first, AI-powered apps.

Couchbase Shell (cbsh) Reaches v1.0: Unlocking the Power of Vector Search & Beyond
Couchbase Shell (cbsh) Reaches v1.0: Unlocking the Power of Vector Search & Beyond

Couchbase releases Couchbase Shell (cbsh) with advanced vector search for GenAI and improved database interactions

New Couchbase Capella Advancements Fuel Development
New Couchbase Capella Advancements Fuel Development

Fuel AI-driven development with Capella’s latest updates: real-time analytics, vector search at the edge, and a free tier to start quickly.

Vector Search at the Edge with Couchbase Mobile
Vector Search at the Edge with Couchbase Mobile

Couchbase Lite isthe first database platform with cloud-to-edge support for vector search powering AI apps in the cloud and at the edge. Learn more here.