White Papers
Evals in Production
Drawing on agentic AI deployments across financial services, life sciences, investment management, and technology sectors.
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Redis is an open-source, in-memory data structure store that can be used for caching, databases, and message brokering. As an in-memory store, it delivers significantly higher performance compared to traditional databases. Redis supports a wide range of use cases, including message brokering, key-value storage, caching, databases, Pub/Sub messaging, clustering, and ensuring high availability of data.
In this case study, we will focus on caching, one of the most common use cases of Redis. Redis offers high availability through replication, and its performance can be further enhanced by leveraging its clustering features.
Drawing on agentic AI deployments across financial services, life sciences, investment management, and technology sectors.
Building a Trusted, Conversational Data Layer for Financial Services Financial services companies rely on data to operate. Things like credit ratings are based on data and market intelligence is built using data. The systems that support these things need to be easy to see, secure and well managed. But the information needed to manage all […]
AI Practitioner’s Guide to Building Production-Ready LLM Applicationss Most enterprise LLM projects stall between pilot and production. The difference is rarely the model, it is the architecture. This guide synthesizes what we have learned across 35+ enterprise implementations, organized into seven application patterns we have repeatedly delivered. The focus is on the decisions that determined […]
