Build enterprise search for agents with Amazon Bedrock Managed Knowledge Base
AWS Machine Learning Dani Mitchell ● Covered by 4 sources
Amazon Bedrock launched Managed Knowledge Base in general availability, a fully managed service that handles enterprise data ingestion, vector storage, and retrieval for AI agents without requiring manual infrastructure setup. The service supports six native connectors (S3, SharePoint, Confluence, Google Drive, OneDrive, and Web Crawler), processes documents up to 500 MB for PDFs and 10 GB for video, and can be set up with three API calls instead of weeks of manual pipeline construction. Organizations can now deploy production-grade retrieval-augmented generation applications with built-in access controls, multi-hop reasoning through agentic retrieval, and automatic scaling from gigabytes to terabytes.
Why it matters
In this post, we walk through the three pillars that make this possible: simplified setup, smarter retrieval, and production readiness. We also show you code examples for setting up a knowledge base and retrieving from it.
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