REDISReleased

Join this waitlist-only, hands-on workshop to build and scale AI apps with Redis. We'll walk through vectors, RAG, semantic caching, and agent-based architectures, showing you how to deliver AI apps that run fast, scale easily, and perform reliably in production.

Join us in The Lab to get hands-on demos from Redis experts and sponsors.

Context engineering is defining the agentic era by giving AI systems persistent memory, long-term recall, and continuity across interactions.

Redis CEO Rowan Trollope—joined virtually by Redis creator Salvatore “antirez” Sanfilippo—makes the case for context engineering as the missing layer agents need to move beyond demos and into production.

They’ll break down Redis’ role in delivering millisecond retrieval, new releases for AI and Cloud, and announcements you won’t want to miss.

Join Redis experts and our sponsors in The Lab.

Join AI leaders from LangChain, Tavily, Augment, and Cognee as they discuss context engineering and agent memory—and how agents are shaping the next era of AI.

The panel will explore challenges with LLMs and context management, solutions and tradeoffs, and where the industry is heading next.

Redis on AWS gives devs the fastest path to building modern, AI-driven apps.

This session covers how Redis' seamless integrations with services like Amazon Bedrock reduce architectural overhead, streamline setup, and unlock advanced AI capabilities.

Walk away with practical guidance for delivering scalable AI solutions on AWS with Redis.

This session shares practical lessons for deploying AI agents in production through real-world case studies—including a social media automation agent built to grow followers and a programmer agent that achieved top SWE-bench results.

Attendees will gain concrete guidance for evaluating performance, overcoming scalability challenges, managing costs, and optimizing generative agents for consistent, measurable value.

Join Redis experts and our sponsors in The Lab.

Track 1
Building an AI agent with Autogen & Azure Managed Redis (AMR)

This session for devs and architects will showcase how Microsoft and Redis enable agentic workflows with powerful memory capabilities for enterprise AI use cases.

Through a live demo of a travel agent scenario, attendees will see Redis power both short-term working memory and long-term semantic recall, integrated with AutoGen, Azure OpenAI, and Azure Managed Redis (AMR).

The talk highlights key AMR features—including RedisJSON, Redis Query Engine, and new roadmap enhancements like hybrid search—to demonstrate how Redis ensures reliability, scalability, and enterprise readiness.

Track 2
AI-powered spreadsheets: Let an army of AI agents gather, structure, & act on your data

Learn how Paradigm AI uses Redis to power a fleet of AI agents to automate tedious research tasks—like filling in missing fields in a spreadsheet—by automatically gathering, structuring, and acting on data with human-level precision.

Join Redis experts and our sponsors in The Lab.

Track 1
How T-Mobile scales digital orders with Redis

Learn how to keep digital platforms resilient even at massive scale. See how T-Mobile used Redis for real-time caching, search, and analytics to eliminate downtime, scale to billions of updates, and deliver fast, reliable experiences across every customer channel.

Track 2
Scaling Raymond James's chatbot from idea to production

See how Raymond James took a chatbot from prototype to production while boosting accuracy and performance with Redis. The session covers how they achieved low-latency responses, validated accuracy improvements, and applied A/B testing insights to improve user experience.

Join Redis experts and our sponsors in The Lab.

Track 1
Solving the cold cache problem with Redis Data Integration

What if your cache never went cold? With Change Data Capture (CDC) and Redis Data Integration (RDI), your cache shifts from a passive store to a proactive, real-time data layer. Learn how continuous cache warming eliminates cold starts, cache stampedes, and latency spikes—keeping your critical data always hot, always ready, and always close.

Track 2
Research at scale: How Amgen scans millions of documents to develop life-saving drugs faster

Amgen uses Redis to give AI systems the memory to scan and summarize millions of scientific and clinical documents. Learn how this approach delivers faster insights, streamlined regulatory processes, and a quicker path to life-saving therapies.

Join us in The Lab for drinks, bites, and conversation with our product experts.