The AWS Machine Learning Blog describes how Amazon Quick combines structured and unstructured data within a single experience. The post walks through connecting Amazon S3 as a knowledge base, enriching a dataset, building a Space, and creating a custom chat agent.
The resulting chat agent is designed to answer business questions across both structured and unstructured data types through one conversational interface.
Why it matters
Unifying structured and unstructured data in a single tool can reduce the need to query different sources separately, letting users ask business questions through a conversational interface.
Who should care
Teams working with AWS data services and those building chat-based access to business data across multiple data types may find this walkthrough relevant.