diff --git a/05-agentic-rag/README.md b/05-agentic-rag/README.md
index 353f67bc..b967210d 100644
--- a/05-agentic-rag/README.md
+++ b/05-agentic-rag/README.md
@@ -91,8 +91,8 @@ Key differences from more advanced AI forms include:
 Agentic RAG shines in scenarios requiring iterative refinement and precision:
 
 1. **Correctness-First Environments:** In compliance checks, regulatory analysis, or legal research, the agentic model can repeatedly verify facts, consult multiple sources, and rewrite queries until it produces a thoroughly vetted answer.
-
-2. **Complex Database Interactions:** When dealing with structured data where queries might often fail or need adjustment, the system can autonomously refine its queries using Azure SQL or Microsoft Fabric OneLake, ensuring the final retrieval aligns with the user’s intent.3. **Extended Workflows:** Longer-running sessions might evolve as new information surfaces. Agentic RAG can continuously incorporate new data, shifting strategies as it learns more about the problem space.
+2. **Complex Database Interactions:** When dealing with structured data where queries might often fail or need adjustment, the system can autonomously refine its queries using Azure SQL or Microsoft Fabric OneLake, ensuring the final retrieval aligns with the user’s intent.
+3. **Extended Workflows:** Longer-running sessions might evolve as new information surfaces. Agentic RAG can continuously incorporate new data, shifting strategies as it learns more about the problem space.
 
 ## Governance, Transparency, and Trust