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IDP is powering critical workflows across industries and enabling businesses to scale with speed and accuracy. Financial institutions use IDP to automate tax forms and fraud detection , while healthcare providers streamline claims processing and medical record digitization. billion in 2025 to USD 66.68
In this post, we show you an example of a generative AI assistant application and demonstrate how to assess its security posture using the OWASP Top 10 for LargeLanguageModel Applications , as well as how to apply mitigations for common threats.
If you want to use Amazon Q Business to build enterprise generative AI applications, and have yet to adopt organization-wide use of AWS IAM Identity Center , you can use Amazon Q Business IAM Federation to directly manage user access to Amazon Q Business applications from your enterprise identity provider (IdP), such as Okta or Ping Identity.
Document processing has witnessed significant advancements with the advent of Intelligent Document Processing (IDP). With IDP, businesses can transform unstructured data from various document types into structured, actionable insights, dramatically enhancing efficiency and reducing manual efforts.
Next you need to index the data to make it available for a Retrieval Augmented Generation (RAG) approach where relevant passages are delivered with high accuracy to a largelanguagemodel (LLM). The user’s credentials from the IdP or IAM Identity Center are referred to here as the federated user credentials.
This enables the Amazon Q largelanguagemodel (LLM) to provide accurate, well-written answers by drawing from the consolidated data and information. The SharePoint online data source can be optionally connected to an IdP such as Okta or Microsoft Entra ID.
However, they’re unable to gain insights such as using the information locked in the documents for largelanguagemodels (LLMs) or search until they extract the text, forms, tables, and other structured data. We use the IDP AWS CDK constructs , which make it straightforward to work with Amazon Textract at scale.
Intelligent document processing (IDP) is a technology that automates the processing of high volumes of unstructured data, including text, images, and videos. Natural language processing (NLP) is one of the recent developments in IDP that has improved accuracy and user experience.
Next, you need to index this data to make it available for a Retrieval Augmented Generation (RAG) approach where relevant passages are delivered with high accuracy to a largelanguagemodel (LLM). Amazon Q supports the crawling and indexing of these custom objects and custom metadata.
This allows you to directly manage user access to Amazon Q Business applications from your enterprise identity provider (IdP), such as Okta or PingFederate. This involves a setup described in the following steps: Create a SAML or OIDC application integration in your IdP account.
Next, you need to index this data to make it available for a Retrieval Augmented Generation (RAG) approach, where relevant passages are delivered with high accuracy to a largelanguagemodel (LLM). aligned IdP, see Creating an Amazon Q Business application using Identity Federation through IAM.
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