USE CASE
Artificial Intelligence (AI) Use Cases
Move AI agents from pilot to production on Couchbase, the operational data platform for AI.
WHY COUCHBASE
Everything AI needs to put your data to work
An operational data platform for AI’s biggest challenges. Couchbase simplifies development, manages diverse data, automates RAG pipelines, delivers real-time performance at scale, and governs agents, self-managed or fully managed on Capella.
AI Data Plane
One governed data layer for agent memory, data access, models, and caching, now fully managed on Capella too.
Performance at scale
Millisecond responses even for billion-scale vector search. Get fast throughput with highly accurate recall.
Run Anywhere
Fully managed on Capella or self-managed anywhere, with the same APIs, and out to the edge with Couchbase Lite.
RAG automation
Automate ingestion, vectorization, and indexing, with embeddings from your own AWS Bedrock account over AWS PrivateLink.
Trust & agents
Govern agents with Agent Catalog traces and a managed MCP Server with read-only defaults and scoped API keys.
Control cost
Cut repeat LLM calls with exact and semantic caching, and pay per token for serverless frontier models.
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 operational data platform for AI.
AI agents (agents & memory)
Give agents persistent memory across sessions and governed data access through MCP, fully managed on Capella or self-managed. Agent Catalog tracks tools, prompts, and traces to govern behavior.
RAG-based GenAI applications
Build agentic apps with accurate, timely answers grounded in your corporate data. Generate embeddings over private networking and pick the vector index that fits, up to 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
Run vector search and predictive models on device with Couchbase Lite, so mobile and edge AI apps stay up regardless of connectivity. Sync data from cloud to edge and between devices over Bluetooth.
Machine learning
Feed models real-time operational data to spot trends and anomalies and stop fraud as it happens. With Couchbase Operational Insights, self-managed teams can run their own Python models in SQL++ queries.
Surge-ready support and claims triage
Let agents sort, summarize, and draft replies when support or claims queues spike. Serverless frontier models bill per token, and the semantic cache answers repeat questions without a new model call.
What customers are saying
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“We looked at Couchbase and Mongo. We found that the replication technology across data centers for Couchbase was superior, especially for the large workloads.”
Claus Moldt, CIO, FICO (100+ AI patents)
<1
ms response times
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“With search integrated into Couchbase, we can seamlessly search all this data and derive relevance-based intelligence using a single data platform.”
Dave Starling, CTO, Seenit
500K+
videos stored
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“Couchbase real-time communications data and high concurrency query greatly improve the performance and stability for the AI Assistant application.”
Andy Qiu, CEO, Jinmu
70M
documents
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“What matters most for enterprise-grade conversational AI agents is that data retrieval is fast, consistent, and seamless.”
Patrick Ferriter, SVP of Product, Agora
<0.5 sec
target per agentic transaction
AI-powered applications FAQ
Get quick answers to questions about AI for apps, databases, and more.
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.
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.
Common use cases include AI agents that act on live data, hyper-personalized content, conversational assistants, enterprise and hybrid search, recommendation systems, and data analysis.
Run it fully managed on Couchbase Capella, where Agent Memory, the MCP Server, and Model Service are operated for you, or self-managed with Couchbase Enterprise on premises, hybrid, or air-gapped.
Scattered agent infrastructure adds complexity, latency, and cost. Couchbase AI Data Plane keeps memory, data access, governance, and cache together to lower TCO and speed results.
Couchbase delivers millisecond performance through a memory-first architecture, three vector index types including Hyperscale, and exact and semantic caching that eliminates redundant LLM calls.
Keep exploring
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Blog
Your AI agents are stuck in pilot. It’s a data problem, not a model problem.
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Video
Couchbase AI Data Plane product demo
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WEBPAGE
Couchbase AI Data Plane for fast and powerful enterprise AI