Order by date first and boost vec top k

src/functions.py

@@ -44,12 +44,12 @@ def get_analysis(query: str) -> dict:
     embed_model = "default-large-embeddings"
     
     vec = openai_client.embeddings.create(input=[query], model=embed_model).data[0].embedding
-    vector_query = VectorizedQuery(vector=vec, k_nearest_neighbors=config.az_search_top_k * 2, fields="vector")
+    vector_query = VectorizedQuery(vector=vec, k_nearest_neighbors=100, fields="vector")
     results = az_search_client.search(
         search_text="*",
         vector_queries=[vector_query],
         select=["date", "popularity", "sequence", "context", "securities"],
-        order_by=["securities desc", "date desc", "popularity desc"],
+        order_by=["date desc", "securities desc", "popularity desc"],
         top=config.az_search_top_k,
     )