Category: Artificial Intelligence (AI)

Securing Agentic/RAG Pipelines with Fine-Grained Authorization
Securing Agentic/RAG Pipelines with Fine-Grained Authorization

Explore how traditional access control approaches fall short when AI systems need contextual, document-level permissions at scale and speed.

Building Smarter Agents: How Vector Search Drives Semantic Intelligence
Building Smarter Agents: How Vector Search Drives Semantic Intelligence

Vector search has become essential and Couchbase is enabling this transformation with Full Text Search (FTS) and Eventing.

What is Prompt Engineering? Techniques, Examples, and Tools
What is Prompt Engineering? Techniques, Examples, and Tools

Learn what prompt engineering is, with key techniques, examples, and tools to create more accurate, effective prompts for AI models.

How I Built a Plant RAG Application with Couchbase Vector Search on iOS
How I Built a Plant RAG Application with Couchbase Vector Search on iOS

Everything runs on-device using Couchbase vector search. No internet required, no photos sent to servers, just pure local plant identification magic.

Evaluating Agentic AI Workflows
Evaluating Agentic AI Workflows

Evaluating an agent requires a systematic approach to ensure your model is accurate, reliable, and robust. We show how to do it!

Announcing Couchbase Support in Google’s MCP Toolbox for Databases
Announcing Couchbase Support in Google’s MCP Toolbox for Databases

Unlock Real-Time Access for AI Agents with SQL++ and the Model Context Protocol (MCP) - Couchbase is now officially supported in the Google MCP Toolbox for Databases.

Polaris: AI-Powered Conversational Data Intelligence for the Enterprise Through a Multi-Agent Architecture
Polaris: AI-Powered Conversational Data Intelligence for the Enterprise Through a Multi-Agent Architecture

Polaris leverages a multi-agent architecture that enable users to interact with their enterprise data through an intuitive, conversational interface.

Why You Only Need Couchbase When Building Your Agents
Why You Only Need Couchbase When Building Your Agents

As the demand for intelligent automation grows, agent-based systems are becoming a key part of modern AI strategies.

Vector Database vs. Graph Database: Differences & Similarities
Vector Database vs. Graph Database: Differences & Similarities

Explore the differences and similarities between vector and graph databases, and learn which is best for your desired use case.

Couchbase and K2view Partner on Synthetic Data for Building AI Applications
Couchbase and K2view Partner on Synthetic Data for Building AI Applications

Together, K2view and Couchbase are unlocking a new level of data agility, AI readiness, and compliance for modern enterprises.

Introducing Couchbase as a Vector Store in Agno
Introducing Couchbase 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.

AI Agents: The Protocol Revolution Driving Next-Gen Enterprise Intelligence
AI Agents: The Protocol Revolution Driving Next-Gen Enterprise Intelligence

With Model Context Protocol, Agent Communication Protocol and Agent to Agent Protocol signals a new era where agents can effectively collaborate.