Safety, Reliability & Best Practices in LangChain4j

Learn how to build safe, reliable, and enterprise-ready AI applications in Java, including how to protect API keys and model endpoints, validate tool output, enforce content filters, and keep LLMs from stepping outside their intended boundaries. See how to design prompts defensively, restrict system capabilities, and use structured interfaces to avoid injection attacks. We'll also explore patterns for safe RAG, secure memory, and audit-ready logging that make your Langchain4j applications trustworthy, enterprise-grade, and ready for real users.Learn how to build safe, reliable, and enterprise-ready AI applications in Java, including how to protect API keys and model endpoints, validate tool output, enforce content filters, and keep LLMs from stepping outside their intended boundaries. See how to design prompts defensively, restrict system capabilities, and use structured interfaces to avoid injection attacks. We'll also explore patterns for safe RAG, secure memory, and audit-ready logging that make your Langchain4j applications trustworthy, enterprise-grade, and ready for real users.

Pre-requisites:
Check out the LangChain4j beginners series: https://aka.ms/langchain4j-for-beginners
Sign up for an Azure free trial: https://aka.ms/AzureFreeTrialDevRelAll