RAG lifecycle
Vector search
Vectors everywhere
Performance at scale
Feature store
Multipurpose platform
Artificial Intelligence
Top predictive & generative AI use cases
Delight customers with hyper-personalized applications and empower employees with AI agents that streamline workflows. Ensure quality results and reduce hallucinations with a unified, real-time data platform.
RAG-based applications
Build RAG-powered AI agents and chatbots that deliver more accurate, timely results with the context of your corporate data incorporated in real time from Couchbase.
Advanced search and recommendations
Deliver superior semantic search and recommendations systems. Our flexible index types allow you to build sophisticated hybrid queries that combine vector, text, geospatial, and operational data for highly relevant results with low latency.
Powerful field service applications
Build mobile applications with on-device vector search and predictive analytics that work even offline. Securely sync vector data and AI models from the cloud to the edge to empower teams with powerful new capabilities.
Anomaly and fraud detection
Detect and avoid fraudulent activities by spotting trends and anomalies instantly using Couchbase’s in-memory speeds, flexible data model, high-speed semantic search, and feature store capabilities.
“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.
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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.
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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.
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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.
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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.
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Why use a multipurpose database for AI?
Using separate databases adds complexity, latency, and cost. A multipurpose platform simplifies development and lowers TCO. It also improves AI accuracy by grounding LLMs with real-time operational and analytical data from a single source.
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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.
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