Unlock the Power of AI

Learn from Principal Applied AI Engineer, Sam Partee, how to Build an Ecommerce Chatbot With Redis, LangChain, and OpenAI. OpenAI language models were not trained on your company’s data. If you want the chatbot to rely on it, you must retrieve and provide OpenAI with relevant data at runtime. This retrieval process is critically important in ensuring the accuracy and speed of your Chatbot, and is the focus of this session.

Amid the tragedy, the COVID-19 pandemic presented unique opportunities for e-commerce firms, especially for online delivery services prepared to handle an escalating volume of orders.

At iFood, one of the largest food delivery companies in Latin America, the technology team shifted into high gear as millions of new users began relying on its service, and thousands of new restaurants joined its growing platform.

Join experts from Redis and Amazon Web Services to learn how iFood uses Redis Enterprise Cloud on AWS as the foundation of its rapidly evolving ML feature store to create an optimal experience for users.

You will learn how iFood’s Redis-based infrastructure:
- Delivers sub-millisecond performance for ML operations
- Powers a highly efficient microservices architecture that optimizes the user experience
- Allows for massive scalability, enabling rapid corporate growth
- Saves money on infrastructure costs

In this webinar, speakers Sam Partee, Principal Applied AI Engineer, Redis and Microsoft’s Kyle Teegarden, Senior Product Manager, Azure Cache for Redis will walk you through it step by step. This session will provide a deep dive into how vector databases can be used in conjunction with large language models (LLMs) and demonstrate how to make a custom AI-based semantic answer engine entirely using Azure managed services.

Join Redis Principal Solution Architect, Anton Umnikov, for a discussion on generative artificial intelligence, large language models, and databases. Anton will discuss how large language models have taken the world by storm. There will be specific emphasis on real use cases. While there’s a ton of hype, there’s also an explosion of real potential. Thanks to emerging first-party capabilities such as vector storage and search, Redis fundamentally changes how organizations leverage natural language processing, LLMs, GenAI models, and real-time machine learning workloads.