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A technical walkthrough demonstrates using LangChain with Amazon Bedrock Managed Knowledge Bases to compare standard single-shot retrieval (Retrieve API) and multi-step agentic retrieval (AgenticRetrieveStream API). The post explains architecture, IAM permissions, boto3 version requirements (agentic_retrieve_stream requires boto3 >= 1.43.32), and trade-offs including cost and trace event inspection.
Benchling described a defense-in-depth architecture to run AI agent‑generated scientific code across thousands of life‑sciences tenants using Amazon Bedrock AgentCore’s Code Interpreter in VPC mode. The setup places untrusted executions in a separate AWS account (the “Untrusted Code Account”), enforces DNS-level controls with Route 53 Resolver DNS Firewall, restricts network paths to specific VPC endpoints, injects per-job credentials via AWS STS, and runs continuous validation; the architecture reportedly handles >600 code execution sessions per day across >250 tenants per week with zero security incidents.
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