Update VectorSearch.md

demos/guru_scripts/docker/tutorial/4.x/VectorSearch.md

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+# Native Vector Support in TigerGraph
 
+TigerGraph has unveiled native vector support, a revolutionary feature that significantly amplifies the capabilities of graph analytics by incorporating high-dimensional vector embeddings. This cutting-edge enhancement is tailored for contemporary AI and machine learning workflows, facilitating a seamless integration of structured graph data with vector embeddings, thus unlocking new levels of analytical power and efficiency.
+
+# Sample Graph To Start With <a name="top"></a>
+![Financial Graph](https://raw.githubusercontent.com/tigergraph/ecosys/master/demos/guru_scripts/docker/tutorial/4.x/FinancialGraph.jpg)
+
+# Content
+This GSQL tutorial contains 
+- [Setup Environment](#setup-environment)
+- [Setup Schema (model)](#setup-schema)
+- [Load Data](#load-data)
+- [Install GDS Functions](#install-gds-functions)
+- [Query Examples](#query-examples)
+  - [vectorSearch Function](#vectorsearch-function)
+  - [Vector Built-in Functions](#vector-built-in-functions)
+  - [Vector Search](#vector-search)
+  - [Filtered Vector Search](#filtered-vector-search)
+  - [Vector Search on Graph Patterns](#vector-search-on-graph-patterns)
+  - [Vector Similarity Join on Graph Patterns](#vector-similarity-join-on-graph-patterns)
+  - [GDS Functions Summary](#gds-functions-summary)