AI database
Performance at scale
Vectors everywhere
RAG automation
Trust & agents
Cost control
Artificial Intelligence
Top AI use cases
Delight customers with hyper-personalized applications and empower employees with AI agents that streamline work. Ensure fast, quality results and reduce hallucinations with our AI database platform.
AI agents (agents & memory)
Simplify agent management (tools, prompts) and capture the traces of their interactions to debug and govern their behavior to make changes if they start moving away from grounded information.
RAG-based GenAI applications
Build real-time GenAI with more accurate, timely results powered by your corporate data. Our vector search options align to your needs to deliver milliseconds responses even at billion scale.
Search (semantic & hybrid)
Build superior search and recommendations systems. Our flexible indexing allows for sophisticated hybrid queries that combine vector, text, geospatial, and operational data with millisecond response.
Edge AI
Power mobile apps with vector search and predictive analytics, even offline. Securely sync vector data and AI models from the cloud to the edge to empower teams with powerful new capabilities.
Machine learning
Use our real-time database platform to empower machine learning models for predictive trend and anomaly detection to avoid fraudulent activities.
“We looked at Couchbase and Mongo. We found that the replication technology across data centers for Couchbase was superior, especially for the large workloads.”
“With search integrated into Couchbase, we can seamlessly search all this data and derive relevance-based intelligence using a single data platform"
“Couchbase real-time communications data and high concurrency query greatly improve the performance and stability for the AI Assistant application.”
“We looked for a solution with high performance, scalability, and uptime. We combined all our requirements and concluded that Couchbase was the database for us.”
AI-powered applications FAQ
Get quick answers to questions about AI for apps, databases, and more.
-
What is vector search?
A technique for data retrieval where objects (text, images, and videos) are represented as vectors (arrays of numbers) and objects are matched via similar numerical characteristics.
-
What are predictive and generative AI?
Predictive AI is designed to forecast outcomes based on historical data and real-time analysis. Generative AI creates new content that mimics original data, often for natural language conversations.
-
What are applicable use cases for generative AI?
Common use cases include hyper-personalized content generation, chatbot Q&A, enhanced enterprise search, recommendation systems, hybrid search, and data analysis.
-
What is an AI-powered application?
Agentic and other AI-powered applications combine user information, real-time contextual data, predictive calculations, and NLP GenAI to deliver hyper-personalized experiences with the power of LLMs.
-
Why use a multipurpose database for AI?
Using separate databases adds complexity, latency, and cost. Our platform simplifies development and lowers TCO, while improving AI speed and accuracy.
-
Why is Couchbase so fast?
Couchbase delivers real-time performance with in-memory processing, highly efficient indexing, and a scalable distributed architecture. It also ensures data durability and supports complex SQL++ queries.
Start building
Check out our developer portal to explore NoSQL, browse resources, and get started with tutorials.
Use Capella free
Get hands-on with Couchbase in just a few clicks. Capella DBaaS is the easiest and fastest way to get started.
Get in touch
Want to learn more about Couchbase offerings? Let us help.