Category: Artificial Intelligence (AI)

Why You Only Need Couchbase When Building Your Agents
Agents are intelligent systems powered by large language models (LLMs) that can autonomously perform tasks, make decisions, and interact with users or other systems. Unlike traditional software, agents can understand natural language inputs, determine what actions to take, and use...

Vector Database vs. Graph Database: Differences & Similarities
What is a vector database? A vector database is a type of database designed to store, index, and search high-dimensional vector representations of data, typically generated by machine learning models. These vectors, also known as embeddings, capture the semantic meaning...

Couchbase and K2view Partner on Synthetic Data for Building AI Applications
Artificial Intelligence is only as effective as the data it learns from. For many organizations, the challenge isn’t access to data, but access to safe, representative, and adaptable data. That’s where synthetic data comes in. By mimicking the structure and...

Introducing Couchbase as a Vector Store in Agno
We’re excited to announce that Couchbase is now supported as a vector store in Agno. This integration brings together the best of Agno’s agent orchestration capabilities and Couchbase’s high-performance, scalable vector store. It allows developers to build intelligent, multi-agent systems...

AI Agents: The Protocol Revolution Driving Next-Gen Enterprise Intelligence
As protocol standards mature, are enterprises ready for agentic AI? There has been significant progress in AI in terms of generative AI (GenAI), agentic AI and growing interest in physical AI. While hardware, software, frameworks and AI ecosystems are rapidly...

Epidata and Couchbase: Powering Up Digital Transformation, Together
Epidata, a leading innovation outsourcing and software development company with a presence in Latin America and the U.S., is joining forces with Couchbase, the powerhouse behind modern, user-loved applications. This strategic partnership is set to supercharge how organizations tackle their...

Supercharge Machine Learning (ML) Applications with Couchbase
Consider this scenario – you are a developer at a fintech company, and one of your users is notified to ask whether they had authorized an international transaction for $1,000. Instead of getting alarmed, the user clicks on the “No”...

ICYMI: Couchbase Accelerates Innovation From AI to Edge With Latest Releases
In case you missed it, Couchbase has been making waves across the industry with two recent announcements: a Capella AI Services integration with NVIDIA NIM and the new Couchbase Edge Server. As organizations continue their journeys in elevating user experiences...

Effortlessly Migrate 300k+ Hugging Face Datasets into Couchbase with the IDE Plugin and CLI
Migrating large, complex datasets from Hugging Face to Couchbase just got easier. Whether you prefer working from the command line or within your favorite IDE, our new Hugging Face to Couchbase migration toolkit—featuring the Couchbase VS Code Extension and the...

Introducing Model Context Protocol (MCP) Server for Couchbase
The cornerstone of autonomous AI Agentic systems and GenAI applications is an “Augmented LLM”, which is defined as an LLM enhanced with augmentations from various data sources and knowledge bases. Since its introduction, there has been a lot of buzz...

Couchbase Partners with Arize AI to Enable Trustworthy, Production-Ready AI Agent Applications
As enterprises look to deploy production-ready AI agent applications, Large Language Model (LLM) observability has emerged as a critical requirement for ensuring both performance and trust. Organizations need visibility into how agents interact with data, make decisions, and retrieve information...