Building an Enterprise AI Assistant with Amazon Q Business - Internal Knowledge Search and Workflow Automation
Connect data sources like internal documents, Confluence, and SharePoint to enable RAG-based enterprise search and question answering. Learn how to build a secure generative AI platform with guardrails and access controls.
Overview of Q Business
Amazon Q Business is a generative AI assistant service that connects to enterprise data sources, enabling employees to ask questions, search, and summarize information using natural language. It offers over 40 data source connectors including Confluence, SharePoint, Salesforce, ServiceNow, S3, and RDS, allowing unified search across knowledge scattered throughout the organization. Its RAG (Retrieval-Augmented Generation) architecture retrieves relevant information from connected data sources and generates answers based on that information, reducing the risk of hallucinations (factually incorrect responses). While Bedrock Knowledge Bases provides a developer-oriented, API-based RAG platform, Q Business differs by enabling no-code construction of enterprise assistants with a built-in web UI.
Data Source Connections and Indexing
You create a Q Business application and ingest documents into the index using data source connectors. Connectors periodically crawl data sources and automatically sync new, updated, and deleted documents. Sync schedules can be set to on-demand, hourly, daily, or weekly. Access control lists (ACLs) are automatically imported from data sources, ensuring users only receive search results from documents they have permission to access. For example, SharePoint permission settings are directly reflected in Q Business, preventing confidential documents from leaking to unauthorized users. Custom document enrichment also allows you to add metadata or preprocess document content using Lambda functions before indexing.
Guardrails and Access Control
Q Business integrates with IAM Identity Center to centrally manage user authentication and access control. Administrators can set guardrails by topic to block questions about specific topics (such as performance reviews or salary information) or restrict which data sources are included in responses. Global controls enforce that all answers include citations (links to source documents), ensuring response reliability. The plugin feature enables natural language commands to create Jira tickets, file ServiceNow incidents, or update Zendesk tickets. The admin dashboard analyzes user question trends, response usefulness feedback, and usage by data source, helping improve the knowledge base. For deeper insights into enterprise AI strategy, related books on Amazon can be a helpful resource.
Q Business Pricing
Q Business pricing consists of user licenses and index storage. Business Lite users cost approximately $3 per month and have access to basic question answering and search features. Business Pro users cost approximately $20 per month and can use plugin-based actions, custom application creation, and full admin dashboard features. Index storage is billed on a pay-per-use basis based on document count, with no additional charge for up to 20,000 documents. Higher sync frequencies for data source connectors increase crawl costs, so setting infrequently updated data sources to daily sync helps control expenses.
Summary
Amazon Q Business is an enterprise generative AI assistant that unifies internal knowledge and enables natural language search, question answering, and action execution. With over 40 data source connectors and ACL-based access control, it builds a secure knowledge search platform. Guardrails and plugins balance safety with practicality, while the admin dashboard drives continuous improvement.