Tag: vector search
Chat With Couchbase Technical Documentation
Couchbase community: Meet the Couchbase Docs chatbot, your new Generative AI-powered documentation assistant. Now available on the docs.couchbase.com website, the new chatbot will transform the way you learn about Couchbase products. It’s like having a Couchbase expert that’s always on...
Vector Search at the Edge with Couchbase Mobile
We’re pleased to announce the public beta 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 the beta launch of vector search...
Priya Rajagopal, Senior Director, Product Management
March 27, 2024
Announcing Vector Search and a Whole Lot More!
Couchbase Announces Vector Search Couchbase announces vector search across its entire product line including Capella, Enterprise Server, and Mobile to enable building AI-powered adaptive applications that run anywhere. Happy Leap Day! And congratulations to the entire Couchbase team for delivering...
Jeff Morris, VP Product Marketing
March 18, 2024
What is Vector Similarity Search?
Vector Similarity Search Overview Vector similarity search is a technique that finds similar content or data according to their vector representations. Imagine each piece of data as a collection of numbers arranged in a specific way. By comparing these collections...
Couchbase Product Marketing
March 14, 2024
Vector search is coming to Couchbase Lite, sign up for beta!
Mobile app developers know that a key to adoption is engaging users with an experience that is unique and tailored just for them. This means the app must display items and data in context with the user’s tastes, history, location,...
Mark Gamble, Dir Product & Solutions Mktg, Couchbase
March 7, 2024
A Guide to Vector Search
What is Vector Search? Developers are flocking to vector search to make their applications more adaptive to their users. As the term search implies, vector search is for finding and comparing objects using a concept known as vectors. Put simply,...
Tyler Mitchell
February 26, 2024
An Overview of Retrieval-Augmented Generation (RAG)
What Is Retrieval-Augmented Generation? There’s no doubt that large language models (LLMs) have transformed natural language processing, but at times, they can be inconsistent, random, or even plain wrong in the responses they deliver to a prompt. While this can...
Caroline Kerns
February 21, 2024
What are Vector Embeddings?
Vector embeddings are a critical component in machine learning that convert “high-dimensional” information, such as text or images, into a structured vector space. This process enables the ability to process and identify related data more effectively by representing it as...
Matthew Groves
February 20, 2024
A Guide to Generative AI Development
This blog post will provide you with insights and best practices for developing generative AI solutions. By the end of this guide, you’ll have a clear understanding of what generative AI entails, how it works, use cases, benefits, required tech...
Couchbase Product Marketing
January 23, 2024
Unlocking Next-Level Search: The Power of Vector Databases
These days, you can’t go anywhere without hearing about the latest breakthroughs in artificial intelligence (AI). The concept may feel overwhelming if you haven’t incorporated AI into your platform, but it’s much easier to understand than it seems. One of...
Ian McCloy, Director Product Management
August 15, 2023