Amazon Bedrock AgentCore provides an enterprise-grade infrastructure for deploying and managing AI agents. It's model-agnostic, supporting models from Amazon Bedrock, Anthropic, Google Gemini, and OpenAI, and integrates with frameworks like Strands, LangGraph, and CrewAI. Core services include a runtime, memory (short and long-term), a gateway, identity management, a code interpreter, a browser, observability, an evaluation service, and a policy capability. The article details a customer support agent demo, highlighting both the capabilities and potential issues encountered during setup and execution, like deployment warnings and model behavior with policies.
Amazon S3 Vectors is now generally available with increased scale and production-grade performance capabilities. It offers native support to store and query vector data, potentially reducing costs by up to 90% compared to specialized vector databases.
Replace traditional NLP approaches with prompt engineering and Large Language Models (LLMs) for Jira ticket text classification. A code sample walkthrough.
