Fix code review feedback: update comment and quickstart example

Co-authored-by: diberry <41597107+diberry@users.noreply.github.com>

Author: Copilot

nosql-vector-search-typescript/quickstart-vector-search.md

@@ -184,11 +184,15 @@ const queryEmbedding = await aiClient.embeddings.create({
 });
 
 // Perform vector similarity search
+// Note: In production, use validateFieldName() from utils.ts to prevent NoSQL injection
+import { validateFieldName } from './utils.js';
+const embeddedField = validateFieldName(process.env.EMBEDDED_FIELD!);
+
 const { resources } = await container.items.query({
     query: `SELECT TOP 5 c.HotelName, c.Description, c.Rating, 
-            VectorDistance(c.text_embedding_ada_002, @embedding) AS SimilarityScore 
+            VectorDistance(c.${embeddedField}, @embedding) AS SimilarityScore 
             FROM c 
-            ORDER BY VectorDistance(c.text_embedding_ada_002, @embedding)`,
+            ORDER BY VectorDistance(c.${embeddedField}, @embedding)`,
     parameters: [
         { name: "@embedding", value: queryEmbedding.data[0].embedding }
     ]

nosql-vector-search-typescript/src/utils.ts

@@ -276,7 +276,7 @@ export function estimateMonthlyRUCost(options: {
 
 /**
  * Validates a field name to ensure it's a safe identifier for use in queries.
- * This prevents SQL injection when using string interpolation in query construction.
+ * This prevents NoSQL injection when using string interpolation in query construction.
  * 
  * @param fieldName - The field name to validate
  * @returns The validated field name