fix numbering, tweak highlight shade

Author: sarahsanders-docker

assets/css/syntax-dark.css

@@ -14,7 +14,7 @@
   /* LineHighlight */
   .hl {
     min-width: fit-content;
-    background-color: var(--color-gray-100);
+    background-color: var(--color-gray-700);
   }
   .lntd:first-child .hl,
   & > .chroma > code > .hl {

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

@@ -33,7 +33,7 @@ In a RAG system, vector embeddings are used to represent the semantic meaning of
 The system operates as follows:
 1. Questions get turned into mathematical patterns that capture their meaning
 2. These patterns help find matching information in a database
-4. The LLM generates responses that blend the model's inherent knowledge with the this extra information.
+3. The LLM generates responses that blend the model's inherent knowledge with the this extra information.
 
 To hold this vector information in an efficient manner, we need a special type of database.