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An intelligent document processing (IDP) project usually combines optical character recognition (OCR) and natural language processing (NLP) to read and understand a document and extract specific terms or words. It also provides guidance to tackle common challenges, enabling you to architect your IDP workloads according to best practices.
Amazon Q Business can be configured to answer questions, provide summaries, generate content, and securely complete tasks based on your enterprise data. Consider a client-server application that uses an external identity provider (IdP) to authenticate a user to provide access to an AWS resource that’s private to the user.
However, they’re unable to gain insights such as using the information locked in the documents for large language models (LLMs) or search until they extract the text, forms, tables, and other structured data. The AWS CDK construct provides a resilient and flexible framework to process your documents and build an end-to-end IDP pipeline.
Amazon Q Business is a conversational assistant powered by generative AI that enhances workforce productivity by answering questions and completing tasks based on information in your enterprise systems, which each user is authorized to access. This step is performed by the IAM or security administrator in your organization.
Generative AI provides the ability to take relevant information from a data source and deliver well-constructed answers back to the user. This makes it straightforward to find the necessary information without needing to remember exact keywords or filters. Turning off ACLs and identity crawling is no longer supported.
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