Case Study
Wells Fargo processes 50M+ daily real-time transactions with Couchbase
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AI data strategy for retail banking

Slow applications lose users. A flexible multipurpose database is foundational to high performance – and to building AI-powered applications that offer personalized customer experiences.

AI strategy requirements

The success of AI is dependent on how well one understands and manages the underlying data. Hence, AI strategy should be an extension of your data strategy.

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AI strategy execution

Explore retail banking considerations to building a robust AI architecture, navigating an evolving AI ecosystem, and establishing effective AI governance practices.

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Retail banking solutions

Common applications for retail banking companies include fraud detection and scoring, e-payments, and customer 360.

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What customers are saying

“For our customers, the loss of $100 can mean the difference between a pleasant holiday and frustration. Couchbase has never failed us or our customers.”
Dmitri Lihhatsov, Financial Crime Product Owner, Revolut
96% of fraudulent transactions caught
$3M saved
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“We looked at Couchbase, Cassandra, and Mongo. We found the replication technology across data centers for Couchbase was superior, especially for large workloads.”
Claus Moldt, CIO, FICO
<1 ms response times
24x365 application uptime
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"Couchbase is the beating heart of our payment data and all the functionality we provide to our customers."
Stuart Brand, Platform Engineering Manager, BR-DGE
88% faster time to market with new integrations
2-7% increase in payment authorization rates
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AI-powered apps, vector search,
and RAG

Coding with AI: vector search and RAG

Learn how to integrate AI with LangChain and Couchbase vector search to solve real-world problems and simplify complex coding tasks.

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Vector search at the edge

Ensure search results are always available, even in areas with no internet connectivity.

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Improve LLM accuracy

One method to improve the data accuracy of large language models is retrieval-augmented generation (RAG). How does RAG work?

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Providing agile services and dependable data for lenders with Couchbase

Equifax provides credit lenders with the information they use to make consumer loans. The company switched to Couchbase to get the high performance and scalability needed to provide 5-millisecond response times while handling 1.5 billion constantly changing records – while lowering management costs.

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Start building

Check out our developer portal to explore NoSQL, browse resources, and get started with tutorials.

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Join a Free Capella Test-Drive

Kick off your Couchbase Certification journey in 90 minutes with a dedicated instructor.

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