LangChain +RAG +Cassandra Vector Store +Multimodal Visual Question-Answer (VQA)

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: RAG with Cassandra Vector Store
By Patrick McFadden, VP of Developer Relations @ DataStax

This talk will focus on the work in the Apache Cassandra® project to develop a vector store capable of handling petabytes of data, discussing why this capacity is critical for future AI applications. I will also connect how this pertains to the exciting new Generative AI technologies like Improved Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Forward-Looking Active Retrieval Augmented Generation (FLARE) that all contribute to the growing need for such scalable solutions. The needs of autonomous agents will drive the next wave of data infrastructure. Are you ready?

Talk #2: Understanding LangChain and LlamaIndex for RAG and Beyond
By Chris Fregly, Principal Solution Architect, Generative AI @ AWS

Talk #3: DEMO: Visual Question-Answer with Multimodal Models
By Chris Fregly, Principal Solution Architect, Generative AI @ AWS

In this talk, you will see live demos of visual question-answering (VQA) using the latest open source multimodal image-to-text models.

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