Updated Similarity Metrics (markdown)

Similarity-Metrics.md

@@ -198,5 +198,49 @@ Where
 - N<sub>AB</sub> specifies the number of shared bits in the fingerprint of molecular A and B.
 
 
+For example:
+
+**In python**
+
+```python
+from pymilvus import connections, FieldSchema, CollectionSchema, DataType, Collection
+# create a collection
+collection_name = "milvus_test"
+default_fields = [
+    FieldSchema(name="id", dtype=DataType.INT64, is_primary=True, auto_id=True),
+    FieldSchema(name="vector", dtype=DataType.FLOAT_VECTOR, dim=d)
+]default_schema = CollectionSchema(fields=default_fields, description="test collection")
+print(f"\nCreate collection...")
+collection = Collection(name= collection_name, schema=default_schema)
+
+# insert data
+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,
+                        index_params={'index_type': 'IVF_FLAT',
+                                      'metric_type': 'JACCARD',
+                                      'params': {
+                                        "M": 16,              # int. 4~64
+                                        "efConstruction": 40  # int. 8~512
+                                      }})
+collection.load()
+                                     
+# search 
+top_k = 10
+search_params = {"metric_type": "JACCARD", "params": {"nprobe": 10}}
+results = collection.search(vectors[:5], anns_field="vector", param=search_params,limit=top_k)
+
+# show results
+for result in results:
+  print(result.ids)
+  print(result.distance)
+
+```
+