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Contrast that with Scope 4/5 applications, where not only do you build and secure the generative AI application yourself, but you are also responsible for fine-tuning and training the underlying large language model (LLM). LLM and LLM agent The LLM provides the core generative AI capability to the assistant.
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
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 large language model (LLM). The web application that the user uses to retrieve answers would be connected to an identity provider (IdP) or the AWS IAM Identity Center.
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.
This enables the Amazon Q large language model (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.
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 large language model (LLM). Amazon Q supports the crawling and indexing of these custom objects and custom metadata.
Metadata Every document has structural attributes—or metadata—attached to it. External Identity Provider – Choose this option if you want to manage users in other external identity providers (IdPs) through the Security Assertion Markup Language (SAML) 2.0 Blogs – Each blog is considered a single document. standard, such as Okta.
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 large language model (LLM). aligned IdP, see Creating an Amazon Q Business application using Identity Federation through IAM.
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