AWS launches Amazon Bedrock Managed Knowledge Base for enterprise agent search

AWS introduced Amazon Bedrock Managed Knowledge Base, a managed enterprise-search layer purpose-built to give AI agents reliable retrieval over corporate data. Per the AWS machine-learning blog, the offering is organized around three pillars: simplified setup, smarter retrieval, and production readiness, with concrete code examples for configuring a knowledge base and retrieving from it in agent workflows.

The launch is part of a coordinated AWS agent-tooling push this week that also included the Strands Agents SDK and AgentCore Gateway. Enterprise search is one of the hardest, least glamorous problems in production agents — connecting to messy internal data, keeping indexes fresh, and returning accurate results at scale — so a managed service that handles the retrieval plumbing addresses a real pain point for teams building on Bedrock.

Competitively, this pits AWS against Azure AI Search, Google's Vertex AI Search, and a raft of RAG startups (and against NVIDIA's newly top-ranked Nemotron 3 Embed on the model side). AWS's advantage is bundling: teams already on Bedrock get retrieval, hosting via AgentCore, and model access under one roof with enterprise governance. The proof will be in retrieval quality on real customer corpora and whether 'production readiness' holds up under load — the gap between a demo knowledge base and a reliable enterprise deployment is exactly where these services tend to struggle.