From b24299a2cfcb686cd11530f1bdf5e27c8e0906bc Mon Sep 17 00:00:00 2001
From: Milvus-doc-bot <Milvus-doc-bot@zilliz.com>
Date: Wed, 13 Nov 2024 02:12:02 +0000
Subject: [PATCH] Release new docs

---
 v2.4.x/site/en/reference/schema.md             | 7 ++++---
 v2.4.x/site/en/tutorials/tutorials-overview.md | 4 ++--
 2 files changed, 6 insertions(+), 5 deletions(-)

diff --git a/v2.4.x/site/en/reference/schema.md b/v2.4.x/site/en/reference/schema.md
index c54e21145..25a31fd1f 100644
--- a/v2.4.x/site/en/reference/schema.md
+++ b/v2.4.x/site/en/reference/schema.md
@@ -20,7 +20,7 @@ Milvus supports only one primary key field in a collection.
 <table class="properties">
 	<thead>
 	<tr>
-		<th>Properties</td>
+		<th>Properties</th>
 		<th>Description</th>
 		<th>Note</th>
 	</tr>
@@ -138,7 +138,7 @@ A collection schema is the logical definition of a collection. Usually you need
 <table class="properties">
 	<thead>
 	<tr>
-		<th>Properties</td>
+		<th>Properties</th>
 		<th>Description</th>
 		<th>Note</th>
 	</tr>
@@ -189,7 +189,8 @@ schema = CollectionSchema(fields=[id_field, age_field, embedding_field], auto_id
 Create a collection with the schema specified:
 
 ```python
-from pymilvus import Collection
+from pymilvus import Collection,connections
+conn = connections.connect(host="127.0.0.1", port=19530)
 collection_name1 = "tutorial_1"
 collection1 = Collection(name=collection_name1, schema=schema, using='default', shards_num=2)
 ```
diff --git a/v2.4.x/site/en/tutorials/tutorials-overview.md b/v2.4.x/site/en/tutorials/tutorials-overview.md
index 382b8127d..422538d85 100644
--- a/v2.4.x/site/en/tutorials/tutorials-overview.md
+++ b/v2.4.x/site/en/tutorials/tutorials-overview.md
@@ -14,7 +14,7 @@ This page provides a list of tutorials for you to interact with Milvus.
 | [Multimodal RAG with Milvus](multimodal_rag_with_milvus.md) | RAG | vector search, dynamic field |
 | [Image Search with Milvus](image_similarity_search.md) | Semantic Search | vector search, dynamic field |
 | [Hybrid Search with Milvus](hybrid_search_with_milvus.md) | Hybrid Search | hybrid search, multi vector, dense embedding, sparse embedding |
-| [Multimodal Search using multi vectors](multimodal_rag_with_milvus.md) | Semantic Search | multi vector, hybrid search |
+| [Multimodal Search using Multi Vectors](multimodal_rag_with_milvus.md) | Semantic Search | multi vector, hybrid search |
 | [Question Answering System](question_answering_system.md) | Question Answering | vector search |
 | [Recommender System](recommendation_system.md) | Recommendation System | vector search |
 | [Video Similarity Search](video_similarity_search.md) | Semantic Search | vector search |
@@ -28,4 +28,4 @@ This page provides a list of tutorials for you to interact with Milvus.
 | [HDBSCAN Clustering with Milvus](hdbscan_clustering_with_milvus.md) | Quickstart | vector search |
 | [Use ColPali for Multi-Modal Retrieval with Milvus](use_ColPali_with_milvus.md) | Quickstart | vector search |
 | [Vector Visualization](vector_visualization.md) | Quickstart | vector search |
-| [Movie Recommendation with Milvus](movie_recommendation_with_milvus.md) | Recommendation System | vector search |
\ No newline at end of file
+| [Movie Recommendation with Milvus](movie_recommendation_with_milvus.md) | Recommendation System | vector search |