LangChain + Amazon Bedrock + Kubernetes = RAG-based SaaS
Details
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, Principal Developer Advocates, AI and machine learning @ AWS
Talk #1: 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.
Talk #2: 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.
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
O'Reilly Book: https://www.amazon.com/dp/1492079391/
Website: https://datascienceonaws.com
Meetup: https://meetup.datascienceonaws.com
GitHub Repo: https://github.com/data-science-on-aws/
YouTube: https://youtube.datascienceonaws.com
Slideshare: https://slideshare.datascienceonaws.com