Category: Agentic AI Applications
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.
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 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
As the demand for intelligent automation grows, agent-based systems are becoming a key part of modern AI strategies.
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.
Introducing Couchbase as a Vector Store in Flowise
Integrate Couchbase as a high-performance vector store in Flowise. Upsert data, run vector searches, and build AI applications with this no-code solution.
Introducing Model Context Protocol (MCP) Server for Couchbase
Introducing Couchbase MCP Server: an open-source solution to power AI agents and GenAI apps with real-time access to your Couchbase data.
Couchbase Partners with Arize AI to Enable Trustworthy, Production-Ready AI Agent Applications
Couchbase partners with Arize AI to bring observability to production-ready AI agent apps. Learn to build, monitor, optimize Agentic RAG solutions at scale.
Self-Hosted AI Chatbots with Docker and Couchbase Capella
Build a private, self-hosted AI chatbot using Docker Model Runner & Couchbase Capella. Fast, flexible, and fully under your control—no external APIs needed.
Build Your First Open Source AI Agent with Couchbase
Build an open-source AI agent with Python, JavaScript, and Couchbase. Automate tasks and deploy your own AI assistant—completely free!
Couchbase + Dify: High-Power Vector Capabilities for AI Workflows
Couchbase meets Dify.ai, enabling high-performance vector storage for streamlined AI application development.
Couchbase Introduces Capella AI Services to Expedite Agent Development
Couchbase unveils AI Services in Capella to streamline GenAI agent development with model hosting, data processing, and real-time vectorization.
Top Posts
- Data Modeling Explained: Conceptual, Physical, Logical
- Data Analysis Methods: Qualitative vs. Quantitative Techniques
- What are Embedding Models? An Overview
- What are Vector Embeddings?
- Semantic Search vs. Keyword Search: What’s the Difference?
- What Is Data Analysis? Types, Methods, and Tools for Research
- A Breakdown of Graph RAG vs. Vector RAG
- Application Development Life Cycle (Phases and Management Models)
- A Guide to Vector Search
