Unlocking the Power of Vector Search: RAG for AI Chatbots and Image Search with CLIP

Name: Unlocking the Power of Vector Search: RAG for AI Chatbots and Image Search with CLIP
Start: 2023-10-11T09:00:00.000-07:00
End: 2023-10-11T11:30:00.000-07:00
Location: Shack15

AI Engineer Summit

Shack15

San Francisco, California

Registration

Sold Out

This event is sold out and no longer taking registrations.

About Event

In this cutting-edge workshop, participants will embark on a transformative journey into the world of Vector Search, exploring two compelling applications: Retrieval-Augmented Generation (RAG) for AI chatbots and Image Search using Contrastive Language-Image Pretraining (CLIP). Powered by DataStax Astra DB, this workshop promises to revolutionize how you approach information retrieval and data analysis.

Throughout the workshop, hands-on labs and interactive exercises will empower participants to apply these concepts in real-world scenarios. Whether you are an AI enthusiast, a data scientist, or a developer, this workshop equips you with the tools and knowledge to push the boundaries of data exploration, making your applications smarter, more responsive, and highly efficient.

Join us in this immersive learning experience, and discover how Vector Search on DataStax Astra DB is reshaping the future of AI chatbots and image-based content retrieval. Unleash the potential of your data and elevate your skills to new heights. Don't miss your chance to be a part of this groundbreaking workshop!

Topic 1: RAG for AI Chatbots

Discover how to harness the potential of RAG, a powerful fusion of retrieval and generation techniques, to create AI chatbots that can answer questions, engage in natural conversations, and provide insights like never before. Dive into the intricacies of DataStax Astra DB integration, the core components of RAG, and practical training for chatbot applications.

Topic 2: Image Search with CLIP

Witness the future of image search as we explore Contrastive Language-Image Pretraining (CLIP). Learn to unleash the potential of text and image embeddings for content retrieval, e-commerce, and more. Leverage DataStax Astra DB to store and query image and text data, and develop skills in training contrastive models that bridge the language-image divide.

INSTRUCTOR:
Patrick McFadin, Vice President of Developer Relations, DataStax
Patrick McFadin works at DataStax in Developer Relations and as a committer on the Apache Cassandra project. He is also a co-author on the O’Reilly book “Managing Cloud-Native Data on Kubernetes.” Previous to DataStax, he held positions as Chief Architect, Engineering Lead and Database DBA/Developer.