docs: fix jira 407 (#1809)

Author: miyoungc

docs/configure-rails/guardrail-catalog/fact-checking.md

@@ -23,6 +23,8 @@ The NeMo Guardrails library uses the concept of **relevant chunks** (which are s
 
 ```{important}
 The performance of this rail is strongly dependent on the capability of the LLM to follow the instructions in the `self_check_facts` prompt.
+
+If your LLM does not reliably follow this prompt, consider a model purpose-built for hallucination detection instead. See [AlignScore-based Fact-Checking](#alignscore-based-fact-checking) or [Patronus Lynx-based RAG Hallucination Detection](#patronus-lynx-based-rag-hallucination-detection) on this page.
 ```
 
 ### Usage

docs/configure-rails/guardrail-catalog/self-check.md

@@ -25,6 +25,8 @@ The goal of the input self-checking rail is to determine if the input from the u
 
 ```{important}
 The performance of this rail is strongly dependent on the capability of the LLM to follow the instructions in the `self_check_input` prompt.
+
+If your LLM does not reliably follow this prompt, consider a purpose-built input safety model instead. See [Content Safety](content-safety.md) for Nemotron Content Safety, Llama Guard 3, and ShieldGemma alternatives.
 ```
 
 ### Usage
@@ -131,6 +133,8 @@ The goal of the output self-checking rail is to determine if the output from the
 
 ```{important}
 The performance of this rail is strongly dependent on the capability of the LLM to follow the instructions in the `self_check_output` prompt.
+
+If your LLM does not reliably follow this prompt, consider a purpose-built output safety model instead. See [Content Safety](content-safety.md) for Nemotron Content Safety, Llama Guard 3, and ShieldGemma alternatives.
 ```
 
 ### Usage