Check out the blogs that falls under the category Vector Search. Learn more about the vector search best practices – interacting with AI LLMs and more
Category: Vector Search

Building a Path to Edge AI for Vector Search, Image, and Data Focused Applications
We continue to hear from customers that they see the immense value and importance of artificial intelligence (AI), generative AI, vector search, and edge computing. These technologies are becoming more critical to collect data and provide actionable insights. At the...

Your Alternative To MongoDB Atlas Device Sync & Atlas Device SDKs (formerly Realm): Couchbase Mobile
Deciding on your mobile app tech stack shouldn’t be a gamble. Couchbase Mobile delivers a proven, scalable, and mature solution built to last. As a leader in mobile databases, Couchbase ensures you’re ready for the growing demand of offline-first, AI-powered...

Couchbase Shell (cbsh) Reaches v1.0: Unlocking the Power of Vector Search & Beyond
We are thrilled to announce the General Availability (GA) of Couchbase Shell (cbsh), a powerful command-line tool built on top of nushell designed to make your interactions with Couchbase easier and more efficient. Couchbase shell supports powerful vector search capabilities...

New Couchbase Capella Advancements Fuel Development
Today we are pleased to announce three major advancements for Capella, the cloud database platform for modern applications, including GenAI, vector search, and mobile application services. First, the general availability of Capella Columnar, which enables real-time, zero ETL JSON-native data...

Vector Search at the Edge with Couchbase Mobile
We’re pleased to announce the release of Couchbase Lite 3.2 with support for vector search. This launch follows the coattails of vector search support on Capella and Couchbase Server 7.6. Now, with vector search support in Couchbase Lite, we enable...

Build Performant RAG Applications Using Couchbase Vector Search and Amazon Bedrock
Generative AI (GenAI) has the potential to automate work activities that currently occupy 60 to 70 percent of employees’ time, leading to substantial productivity gains across various industries. However, a General Purpose (GP) LLM’s knowledge is confined to its training...

Build Faster and Cheaper LLM Apps With Couchbase and LangChain
New Standard, Semantic and Conversational Cache With LangChain Integration In the rapidly evolving landscape of AI application development, integrating large language models (LLMs) with enterprise data sources has become a critical focus. The ability to harness the power of LLMs...

Get Started With Couchbase Vector Search In 5 Minutes
What is a Vector A Vector is an object that represents a real-world item as an array of floating numbers. Each item in the real world is represented in Vector format(as an array) and has many dimensions (attributes) associated with...

Accelerate Couchbase-Powered RAG AI Application With NVIDIA NIM/NeMo and LangChain
Today, we’re excited to announce our new integration with NVIDIA NIM/NeMo. In this blog post, we present a solution concept of an interactive chatbot based on a Retrieval Augmented Generation (RAG) architecture with Couchbase Capella as a Vector database. The retrieval...

Announcing General Availability of the C++ SDK for Couchbase
We are thrilled to announce the General Availability (GA) of the C++ SDK for Couchbase! This release adds support for native C++ language to our existing comprehensive set of SDK libraries in 11 programming languages and marks a significant milestone...

Enhancing GenAI for Privacy and Performance: The Future of Personalized AI with Edge Vector Databases
The evolution of Generative AI (GenAI) is marked by a significant transition from model development to application development. As these AI models mature, the focus shifts to integrating them into real-world applications, bringing about new challenges. Application developers and infrastructure...