The original title is "Security — Guardrails and Prompt Injection Defense for Production RAG"

Short summary

Production RAG systems require input/output validation and guardrails to defend against prompt injection, jailbreaking, and data leakage. This tutorial provides concrete Python validators that detect malicious patterns and sanitize user input before reaching the LLM. Includes runnable code examples for hardening RAG deployments.

• •Input validators detect prompt injection attempts and prohibited content patterns
• •Output validators prevent system prompt leakage and harmful content generation
• •Python-based guardrails integrate seamlessly into production RAG workflows

Generated with AI, which can make mistakes.