Updated Searching with IVF index (markdown)

Searching-with-IVF-index.md

@@ -63,6 +63,82 @@ for result in results:
   print(result.distance)
 
 ```
+In node
+
+```javascript
+import { MilvusClient } from "@zilliz/milvus2-sdk-node";
+
+# connect Milvus
+const milvusClient = new MilvusClient("localhost:19530");
+
+# create a collection
+const collection_name = "milvus_test1"
+const params = {
+  collection_name: collection_name,
+  fields: [
+    {
+      name: "vector",
+      description: "vector field",
+      data_type: DataType.FloatVector,
+      type_params: {
+        dim: d,
+      },
+    },
+    {
+      name: "id",
+      data_type: DataType.Int64,
+      autoID: true,
+      is_primary_key: true,
+      description: "",
+    },
+  ],
+};
+await milvusClient.collectionManager.createCollection(params);
+
+# insert data
+await milvusClient.dataManager.insert({{
+  collection_name: collection_name,
+  fields_data: entities,
+});
+
+# flush data to disk.
+await milvusClient.dataManager.flush({ collection_names: [collection_name] });
+
+# create index
+await milvusClient.collectionManager.createIndex({
+    collection_name: collection_name,
+    field_name: "vector",
+    extra_params: {
+      index_type: "IVF_FLAT",
+      metric_type: "L2",
+      params: JSON.stringify({ nlist: 100 }),
+    },
+ });
+
+# Load data to memory
+await milvusClient.collectionManager.loadCollection({
+  collection_name: collection_name,
+});
+
+# search
+const top_k = 5;
+const searchParams = {
+  anns_field: "vector",
+  topk: top_k,
+  metric_type: "L2",
+  params: JSON.stringify({ nprobe: 10 }),
+};
+
+await milvusClient.dataManager.search({
+  collection_name: collection_name,
+  expr: "",
+  vectors: [[1, 2, 3, 4, 5, 6, 7, 8]],
+  search_params: searchParams,
+  vector_type: 100, // Float vector -> 100
+});
+
+```
+
 
 
 # IVF_SQ8