Build multi-tenant agentic chat applications on enterprise data with Amazon Bedrock Managed Knowledge Base

Multi-tenant agentic chat assistants are increasingly in demand for large-scale enterprise applications, especially for document-based interactions. Amazon Bedrock Managed Knowledge Base offers a solution that simplifies building such systems by managing the underlying retrieval infrastructure, including parsing, embedding, indexing, and multi-hop retrieval workflows.

The architecture supports direct ingestion of user documents via a custom connector API, bypassing the need for separate document stores or scheduled syncs. Files up to 6 MB are uploaded inline, while larger files are staged in Amazon S3, with the system handling asynchronous parsing and indexing. Each document is tagged with user-specific metadata, enabling strict per-user data isolation through metadata filtering during retrieval.

The retrieval process leverages Amazon Bedrock's agentic workflow, which decomposes complex questions into sub-queries, performs multiple retrievals, and generates grounded, cited responses. This process is fully managed within the knowledge base, reducing operational overhead.

The solution architecture includes AWS services such as Amazon API Gateway, AWS Lambda, Amazon Cognito, Amazon SQS, DynamoDB, and S3, orchestrating document ingestion, status tracking, user authentication, and secure querying. The system ensures that each user can upload and query their documents immediately, with real-time status updates and secure, isolated access.

Best practices emphasize decoupling uploads from ingestion via queues, planning for ingestion throughput limits, and managing conversation history within the application layer. Cost considerations are primarily related to storage, retrieval, and embedding tokens, with the managed knowledge base incurring charges based on usage.

This architecture enables organizations to deploy scalable, secure, multi-tenant document chat applications with minimal infrastructure management, focusing development efforts on user experience and business logic.