Explore hyperscale vector index benchmarks and see how Couchbase 8.0 scales GenAI workloads effortlessly.

Solve your toughest agentic app development challenges

Add AI essentials like RAG and ML to dev workflow

Challenge

Building agentic applications requires a new workflow for RAG, prompt design, and validation – all while keeping data secure and results accurate.

Solution

Capella DBaaS unifies transactional, analytic, and AI data access. Developers can run RAG beside the database and add persistent Agent Memory so agents retain context across sessions. Access billion-scale vector indexing and SQL++ ANN queries for faster, smarter agentic pipelines.

Learn More

Support for popular AI/ML languages and frameworks

Couchbase is supported in many popular frameworks, a vector stores, feature stores, agents, and other AI systems.


Learn More

Ensure security in agentic applications

Challenge

AI-powered applications often use sensitive data that requires robust security and compliance to protect data integrity and lower the risk of unauthorized publication.

Solution

Capella delivers enterprise-grade encryption, RBAC, and auditing. Couchbase Server includes encryption at rest and key rotation for simpler compliance. Developers can host private models like Llama 3 and Mistral in Capella to train and embed vectors securely within enterprise environments.

Learn More

Support for popular AI/ML languages and frameworks

Couchbase is supported in many popular frameworks, a vector stores, feature stores, agents, and other AI systems.


Learn More

Integrate with AI tools

Challenge

Integrating AI tools and frameworks with your database is often complex and time-consuming work.

Solution

Capella integrates with agent frameworks like LangGraph, CrewAI, and LlamaIndex, LangChain, and Haystack to simplify AI orchestration and retrieval, making it easier to build with familiar tools and languages. 8.0 adds SQL++ ANN query support with both Hyperscale and Composite Indexes.

Learn More

Support for popular AI/ML languages and frameworks

Couchbase is supported in many popular frameworks, a vector stores, feature stores, agents, and other AI systems.


Learn More

Manage the backend without slowing down

Challenge

Having a complex backend with separate systems for SQL, full-text, and vector search slows development and complicates high-performance search integration.

Solution

Couchbase’s multi-model hybrid search reduces backend systems by unifying SQL++ queries, key-value, caching, full-text search, and hybrid and billion-scale search in one platform. By executing complex queries in one place, you can accelerate development, enhance flexibility, and cut infrastructure costs.

Learn More

Support for popular AI/ML languages and frameworks

Couchbase is supported in many popular frameworks, vector stores, feature stores, agents, and other AI systems.


Learn More

Couchbase advantages for AI developers

Helping customers develop fast and reliable mobile apps

The ability to run queries easily helped us boost the machine learning AI algorithms that we’re running today. We combined all our requirements and concluded that Couchbase was the database for us.

60%

reduction in operating costs

to and do

Powered by Couchbase, FICO’s Falcon Fraud Manager uses AI to help protect customers from fraudulent charges. Widely considered to be the #1 fraud detection platform in the world, it scores 65% of the world’s credit/debit cards.

<1 MS

response times

24X365

application uptime

FICO

With Couchbase, SWARM Engineering provides an AI and ML based SaaS platform that lets organizations in the agri-food industry optimize their supply chains using next-gen cognitive computing. Customers using SWARM save millions of dollars, minimize waste, and reduce their environmental impact.

$1M

second agentic transaction target

400%

real work agentic AI use cases

Swarm

Agora uses Couchbase to support real-time conversational AI agents with fast, consistent retrieval for RAG. This helps agents pull enterprise data into live conversations for outbound sales, marketing, customer service, and physical AI while keeping interactions natural and responsive.

0.5

second agentic transaction target

4

real work agentic AI use cases

Related resources