Build a customer profile validation assistant

Many users run search for profile via text, but at times they may need to augment the search with images. This requires the search for similar images from the repository with some textual criteria which may not return accurate results. This session covers how to build a search functionality in an application with multi-model search. Learn how to prepare the data with low-code, no-code techniques using Amazon SageMaker Canvas and existing repository to extend your existing search functionalities. We showcase how Amazon Bedrock and Amazon SageMaker leverage large learning models (LLMs) to quickly evaluate the model, producing accurate responses for your business rules. The session also explores the use of vector databases to store and search efficiently with image and textual information.

Speaker: Priya Jathar, Solutions Architect, AWS India