Category: Artificial Intelligence (AI)
-

Consolidate Your Databases to Eliminate Data Sprawl, Reduce Complexity and Lower Costs
The concept of consolidation is simple, and applying its principles can bring immense benefit to any organization. But what does consolidation mean in the context of database technology? Google defines consolidation as “the action or…
-

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…
-

SWARM Engineering Helps Business Users Optimize Supply Chains with Next-Gen Technology
The overwhelming narrative heading into the new year has been everything surrounding artificial intelligence (AI) and machine learning (ML). What do these technologies mean for society as a whole, and how will they be…
-

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…
-

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…
-

Couchbase Capella iQ is Now Generally Available
We’re excited to announce the general availability of Capella iQ, our AI coding assistant for developers. iQ allows developers to interact with the Couchbase database platform using natural language conversation, making database interactions more…
-

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…
-

Couchbase 2024 Predictions: Driving Successful AI Adoption with Edge Computing, Lightweight Models and Developer Empowerment
Generative AI and Edge Computing can work synergistically to deliver personalized, intelligent insights at scale. Processing massive volumes of data at the edge, closer to the point of generation or consumption, saves bandwidth costs…
-

Large Language Models Explained
What is a Large Language Model (LLM)? A large language model (LLM) is an artificial intelligence (AI) algorithm trained on large amounts of text data to create natural language outputs. These models have become…
-

2024 Tech Predictions: Real-time Data, Edge AI, and Multimodel Cloud Databases Will Be Key to Effectively Embracing AI
In 2023, businesses quickly shifted priorities from focusing on expanding tech stacks to maximizing efficiency through consolidation and cost-effective strategies. Yet with AI’s ascent, businesses face new risks in tech adoption. There are specific…

