Knowledge bases - Amazon Quick Suite
How knowledge bases workGeneral workflowCommon configuration settings

Knowledge bases

A knowledge base is an organized, indexed collection of documents or content from data sources optimized for generative AI-powered retrieval and question answering. Whether your team stores documentation in Confluence, collaborates through SharePoint, or manages files in cloud storage, you can bring all this information into one unified search experience by creating knowledge bases.

The built-in integrations can be set up with just a few clicks to sync your data in Quick Suite and make it effortless to tap into your organization's knowledge across Google Drive, OneDrive, Confluence, SharePoint, S3, and Web Crawler. Whether your team stores documentation in Confluence, collaborates through SharePoint, or manages files in cloud storage, you can bring all this information into one unified search experience with the help of knowledge bases.

How knowledge bases work

Knowledge base is an indexed collection of documents or content from data sources such as Google Drive, optimized for generative AI-powered retrieval and question answering. Multiple knowledge bases can be created from the same source, and all can reside within a shared Quick Index. For example, if you sync two folders from Google Drive and create two knowledge bases — one for “Policy Documents” to answer queries such as “What’s our refund policy” and one for “Customer feedback” to answer queries such as “What are the common customer complaints” — both can be part of the same index. Quick distinguishes between them using the knowledge base id, so queries can be filtered to retrieve only the relevant documents from the desired knowledge base. This allows users to organize, secure, and retrieve information relevant to different domains or use cases, even though the underlying data is indexed together.

Your knowledge bases can be used individually or shared with team members through Amazon Quick Suite spaces. Our coarse-grained access control enables security at the knowledge base level, ensuring that users only receive information from knowledge bases they're authorized to access.

Creation process

You can create knowledge bases while setting up a new data access integration and use existing integrations to create additional knowledge bases:

  1. Data access integration setup - Connect to your external data source

  2. Content selection - Choose which content to include through filters and scope settings

  3. Indexing - Amazon Quick Suite processes and indexes the selected content

  4. Availability - The knowledge base becomes available for use in spaces and by AI agents

Capabilities

Each knowledge base provides the following capabilities:

  • Content indexing - Processes text, documents, and structured data from external sources

  • Semantic search - Enables AI-powered search across indexed content

  • Automatic synchronization - Keeps content up-to-date with configurable sync schedules

  • Coarse-grained access control - Ensures that users only receive information from knowledge bases they're authorized to access.

  • Multi-space usage - Can be used across multiple spaces and by different AI agents

General workflow

The typical workflow for working with knowledge bases follows these steps:

  1. Set up data source integration - Connect to your external application (such as SharePoint, Google Drive, or Confluence) with appropriate authentication. For more information, see Integration-specific guides.

  2. Create a knowledge base - You can create a knowledge base while configuring your new integration. Configure your content filters by setting up include filters, file type restrictions, and folder selections to focus on relevant content.

  3. Set sync schedule - Data refresh frequency is set to daily by default. You can edit the sync frequency to configure how often the knowledge base should be updated with new content from the source.

  4. Monitor and manage - Review sync status, manage access permissions.

Common configuration settings

Knowledge bases share common configuration patterns across different data source integrations. Understanding these settings helps you optimize content indexing and manage sync behavior effectively.

Note

While these configuration options are available across most integrations, specific settings and available options may vary depending on your chosen data source integration.

File size and content limits

Configure file size limits to optimize processing performance and manage storage costs. The specific limits vary by content type and are displayed in the console when you configure your knowledge base.

Standard text documents

Applies to documents like PDFs, Word files, and text files. File size limit is 50 MB.

Video files

Available when video processing is enabled. Supported formats include .mp4, .mov, .m4v. Limit is 10 GB (10240 MB) for video files.

Audio files

Available when audio processing is enabled. Supported formats include .mp3, .wav, .m4a, .flac, and .ogg. Limit is 2 GB (2048 MB) for audio files.

Note

Files with extracted text that exceeds the 30 MB system limit are not indexed, regardless of the original file size. The maximum amount of text that can be extracted from a single document is 30 MB.

Sync schedule and safeguards

Configure how often your knowledge base updates and protect against unintended content deletion:

Sync frequency

Data refresh frequency is set to daily by default. You can edit the sync frequency to configure how often the knowledge base should update with new content from the source

Document deletion safeguard

Protect your indexed content from accidental mass deletion by setting a maximum deletion percentage threshold. If a sync job would delete more documents than your threshold allows, the deletion phase is skipped, preserving your existing indexed content.

This safeguard protects against temporary network issues, permission changes, or source system problems that might make content temporarily unavailable.