update docs with correct naming

Author: zsimjee

docs/integrations/nemo_guardrails/guardrails_rails.md

@@ -26,8 +26,10 @@ guard = Guard().use(
 Then, we have the guard validate the completions generated by the Rails application.
 
 ```python
-from guardrails import RailsGuard
-railsguard = RailsGuard(rails, guard)
+from guardrails.integrations.nemoguardrails.nemoguardrails_guard import (
+    NemoguardrailsGuard
+)
+railsguard = NemoguardrailsGuards(rails, guard)
 
 result = railsguard(
   messages: [{
@@ -37,7 +39,7 @@ result = railsguard(
 )
 ```
 
-The `RailsGuard` class is a wrapper around the Guard class. Just like a Guard, it can [called](https://www.guardrailsai.com/docs/api_reference_markdown/guards#__call__) with similar parameters to the OpenAI completions API. It also returns a `ValidationOutcome` object (or iterable, in streaming cases). That object can be destructured to get the raw output, the validated output, and other metadata.
+The `NemoguardrailsGuard` class is a wrapper around the Guard class. Just like a Guard, it can [called](https://www.guardrailsai.com/docs/api_reference_markdown/guards#__call__) with similar parameters to the OpenAI completions API. It also returns a `ValidationOutcome` object (or iterable, in streaming cases). That object can be destructured to get the raw output, the validated output, and other metadata.
 
 Here, `raw_llm_output` is the output returned by the NeMo Guardrails Rails.