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LangChain + Amazon Bedrock + Kubernetes = RAG-based SaaS Implementation

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RSVP Webinar: https://www.eventbrite.com/e/webinarkubeflow-tensorflow-tfx-pytorch-gpu-spark-ml-amazonsagemaker-tickets-45852865154 Talk #0: Introductions and Meetup Announcements By Chris Fregly and Antje Barth, Generative AI Engineers @ AWS Talk #1: How to Build a Multitenant Chatbot with Retrieval Augmented Generation (RAG) using Amazon Bedrock and Amazon EKS By Farooq Ashraf, Sr. Solutions Architect, and Ravi Yadav, Sr. Container Specialist @ AWS Generative AI based chatbot is an application pattern that many organizations see as an effective tools for engaging with their customers in providing technical support, answering product queries, code generation, etc. Organization with many customers tend to build multi-tenant applications, in order, to optimize cost and release cycle time. This session demonstrates how to build a chatbot application in a multi-tenant fashion on Amazon EKS. Talk #2: LangChain + Amazon Bedrock By Chris Fregly, Principal Solution Architect, Generative AI @ AWS In this talk, Chris will walk through some live retrieval-augmented generation (RAG) demos using LangChain with the newly-GA'd Amazon Bedrock managed service for Generative AI on AWS. RSVP Webinar: https://www.eventbrite.com/e/webinarkubeflow-tensorflow-tfx-pytorch-gpu-spark-ml-amazonsagemaker-tickets-45852865154 Zoom link: https://us02web.zoom.us/j/82308186562 Related Links Generative AI Free Course on DeepLearning.ai: https://bit.ly/gllm O'Reilly Book: https://www.amazon.com/dp/1492079391/ Website: https://generativeaionaws.com Meetup: https://meetup.generativeaionaws.com GitHub Repo: https://github.com/generative-ai-on-aws/ YouTube: https://youtube.generativeaionaws.com Slideshare: https://slideshare.generativeaionaws.com

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