Update content/guides/genai-leveraging-rag/index.md

Co-authored-by: Craig Osterhout <[email protected]>

Author: Expeto

content/guides/genai-leveraging-rag/index.md

@@ -59,7 +59,7 @@ To illustrate the power of RAG systems in practice, let's examine a real-world i
 Apache NiFi serves as an excellent example of the limitations of traditional LLMs and how RAG can overcome them. As a relatively recent technology, many LLMs have limited or outdated knowledge about it, making it a perfect candidate for demonstrating RAG's capabilities.
 
 Without RAG, the LLM may provide broad responses or acknowledge its limited knowledge when asked about information that is beyond its cutoff date. The following example demonstrates this.
-```
+```text
 Question: What important events happened in 2024?
 RAG: Disabled
 I'm happy to help! Unfortunately, I'm a large language model, I don't have access to real-time information or events that occurred after my training data cutoff in 2024. Therefore, I cannot provide you with any important events that happened in 2024. My apologize for any inconvenience this may cause. Is there anything else I can help you with?