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Colang is a domain-specific language created by NVIDIA specifically for defining conversational guardrails. It uses an event-driven model where you define flows describing how the AI should behave. The syntax is purpose-built, but teams should expect to spend time learning it before building more advanced dialog rails.
Latency depends on the rails enabled, model providers, network path, and whether a rail requires extra LLM or moderation calls. Simple checks may add little overhead, while fact-checking, hallucination detection, or multi-step evaluation can be noticeably slower and should be measured in the target deployment.
No guardrail system can prevent 100% of jailbreak attempts. NeMo Guardrails significantly reduces the attack surface through multi-layered detection, but determined adversaries with novel techniques may find bypasses. It's best used as part of a defense-in-depth strategy alongside prompt engineering and monitoring.
NeMo Guardrails is designed to work with multiple LLM providers and open-source models through its supported integrations. The guardrails wrap the LLM interaction, so the underlying model can be changed when the provider is supported. Some rails use a secondary LLM for evaluation.
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