Update knn-vs-ann.md

Author: wmwxwa

articles/cosmos-db/gen-ai/knn-vs-ann.md

@@ -30,3 +30,12 @@ Two popular vector search algorithms are k-Nearest Neighbors (kNN) and Approxima
 4. Making Predictions:
   - Classification: For classification tasks, ANN assigns the class label to the query point that is most common among the identified neighbors, similar to kNN.
   - Regression: For regression tasks, ANN predicts the value for the query point as the average (or weighted average) of the values of the identified neighbors.
+
+## Related content
+- [What is a vector database?](../vector-database.md)
+- [Vector database in Azure Cosmos DB NoSQL](../nosql/vector-search.md)
+- [Vector database in Azure Cosmos DB for MongoDB](../mongodb/vcore/vector-search.md)
+- [What is vector search?](vector-search-overview.md)
+- LLM [tokens](tokens.md)
+- Vector [embeddings](vector-embeddings.md)
+- [Distance functions](distance-functions.md)