Updated Searching with ANNOY index (markdown)

Searching-with-ANNOY-index.md

@@ -37,7 +37,12 @@ print(f"\nCreate collection...")
 collection = Collection(name= collection_name, schema=default_schema)
 
 # insert data
-mr = collection.insert([xb])print(collection.num_entities)
+import random
+vectors = [[random.random() for _ in range(8)] for _ in range(10)]
+entities = [vectors]
+mr = collection.insert(entities)
+print(collection.num_entities) 
+
 
 # create index
 collection.create_index(field_name=field_name,
@@ -50,7 +55,7 @@ collection.load()
                                      
 # search 
 top_k = 10
-results = collection.search(data=xq, anns_field="vector",param={
+results = collection.search(vectors[:5], anns_field="vector",param={
                 "search_k": -1    # int. {-1} U [top_k, n*n_trees], n represents vectors count.
               }, limit=top_k) # show results