- Developers
-
-
COMMUNITY
Join the Developer Community
Explore developer resources, ambassadors, and events in your area.
Learn More
-
-
AI Services
Semantic search
Vectors everywhere
In-memory speeds
Multipurpose platform
Artificial Intelligence
Top artificial intelligence use cases
Delight customers and empower employees by building predictive and generative AI into hyper-personalized applications with natural language conventions and dynamic functionality that adapts to the user.
RAG-based applications
Build agentic applications with natural language chat, retrieval-augmented generation (RAG), LLMs, and unstructured data. Give users accurate, secure, and timely information.
Advanced search and recommendations
Deliver great semantic search and recommendations while reducing complexity. Combine vector search and all your search needs in one query. Get low latency and eliminate in-app data joins.
Powerful field service applications
Build mobile applications with the power of vector search and predictive analytics that even work offline. Empower teams with new ways to search and engage with their mobile apps.
Anomaly and fraud detection
Detect and avoid fraudulent activities by spotting trends and anomalies instantly using Couchbase’s in-memory speeds, flexible data model, vector search, and real-time analytics.
“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"
“What Couchbase has done with SQL++ has been one of the most innovative things done in the database space in decades.”
“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 adaptive applications FAQ
Get quick answers to AI questions.
-
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, 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 more than one database adds complexity, latency, expense, and management burdens. Couchbase’s multipurpose database simplifies your development, improves performance, and lowers costs.
-
Why is Couchbase so fast?
Couchbase delivers high performance with in-memory processing, 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 our free DBaaS
Get hands-on with Couchbase in just a few clicks. Capella DBaaS is the easiest and fastest way to get started.
Join a free Capella Test-Drive
Kick off your Couchbase Certification journey in 90 minutes with a dedicated instructor.