diff --git a/source/includes/fundamentals/code-snippets/indexes/atlasVectorSearch.go b/source/includes/fundamentals/code-snippets/indexes/atlasVectorSearch.go
new file mode 100644
index 00000000..0d81b17b
--- /dev/null
+++ b/source/includes/fundamentals/code-snippets/indexes/atlasVectorSearch.go
@@ -0,0 +1,167 @@
+package main
+
+import (
+	"context"
+	"encoding/json"
+	"fmt"
+	"log"
+	"os"
+
+	"go.mongodb.org/mongo-driver/v2/bson"
+	"go.mongodb.org/mongo-driver/v2/mongo"
+	"go.mongodb.org/mongo-driver/v2/mongo/options"
+)
+
+func main() {
+	ctx := context.Background()
+
+	// Retrieves your Atlas connection string
+	uri := os.Getenv("MONGODB_ATLAS_URI")
+	if uri == "" {
+		log.Fatal("MONGODB_ATLAS_URI environment variable is not set")
+	}
+
+	// Connect to your Atlas cluster
+	clientOptions := options.Client().ApplyURI(uri)
+	client, err := mongo.Connect(ctx, clientOptions)
+	if err != nil {
+		log.Fatalf("Failed to connect to the server: %v", err)
+	}
+	defer func() {
+		if err := client.Disconnect(ctx); err != nil {
+			log.Fatalf("Failed to disconnect: %v", err)
+		}
+	}()
+
+	// Set the namespace
+	coll := client.Database("sample_mflix").Collection("embedded_movies")
+
+	// start-create-vector-search
+	// Defines the structs used for the index definition
+	type vectorDefinitionField struct {
+		Type          string `bson:"type"`
+		Path          string `bson:"path"`
+		NumDimensions int    `bson:"numDimensions"`
+		Similarity    string `bson:"similarity"`
+		Quantization  string `bson:"quantization"`
+	}
+
+	type vectorDefinition struct {
+		Fields []vectorDefinitionField `bson:"fields"`
+	}
+
+	// Sets the index name and type to "vectorSearch"
+	const indexName = "vector_search_index"
+	opts := options.SearchIndexes().SetName(indexName).SetType("vectorSearch")
+
+	// Defines the index definition
+	vectorSearchIndexModel := mongo.SearchIndexModel{
+		Definition: vectorDefinition{
+			Fields: []vectorDefinitionField{{
+				Type:          "vector",
+				Path:          "plot_embedding",
+				NumDimensions: 1536,
+				Similarity:    "dotProduct",
+				Quantization:  "scalar"}},
+		},
+		Options: opts,
+	}
+
+	// Creates the index
+	searchIndexName, err := coll.SearchIndexes().CreateOne(ctx, vectorSearchIndexModel)
+	if err != nil {
+		log.Fatalf("Failed to create the Atlas Vector Search index: %v", err)
+	}
+	// end-create-vector-search
+
+	// Creates an Atlas Search index
+	// start-create-atlas-search
+	// Sets the index name and type to "search"
+	const indexName = "search_index"
+	opts := options.SearchIndexes().SetName(indexName).SetType("search")
+
+	// Defines the index definition
+	searchIndexModel := mongo.SearchIndexModel{
+		Definition: bson.D{
+			{Key: "mappings", Value: bson.D{
+				{Key: "dynamic", Value: false},
+				{Key: "fields", Value: bson.D{
+					{Key: "plot", Value: bson.D{
+						{Key: "type", Value: "string"},
+					}},
+				}},
+			}},
+		},
+		Options: opts,
+	}
+
+	// Creates the index
+	searchIndexName, err := coll.SearchIndexes().CreateOne(ctx, searchIndexModel)
+	if err != nil {
+		log.Fatalf("Failed to create the Atlas Search index: %v", err)
+	}
+	// end-create-atlas-search
+
+	// start-list-index
+	// Specifies the index to retrieve
+	const indexName = "myIndex"
+	opts := options.SearchIndexes().SetName(indexName)
+
+	// Retrieves the details of the specified index
+	cursor, err := coll.SearchIndexes().List(ctx, opts)
+
+	// Prints the index details to the console as JSON
+	var results []bson.D
+	if err := cursor.All(ctx, &results); err != nil {
+		log.Fatalf("Failed to unmarshal results to bson: %v", err)
+	}
+	res, err := json.Marshal(results)
+	if err != nil {
+		log.Fatalf("Failed to marshal results to json: %v", err)
+	}
+	fmt.Println(res)
+	// end-list-index
+
+	// start-update-index
+	// Specifies the index name and the new index definition
+	const indexName = "vector_search_index"
+
+	type vectorDefinitionField struct {
+		Type          string `bson:"type"`
+		Path          string `bson:"path"`
+		NumDimensions int    `bson:"numDimensions"`
+		Similarity    string `bson:"similarity"`
+	}
+
+	type vectorDefinition struct {
+		Fields []vectorDefinitionField `bson:"fields"`
+	}
+
+	definition := vectorDefinition{
+		Fields: []vectorDefinitionField{
+			{
+				Type:          "vector",
+				Path:          "plot_embedding",
+				NumDimensions: 1536,
+				Similarity:    "cosine",
+				Quantization:  "scalar",
+			},
+		},
+	}
+
+	// Updates the specified index
+	err := coll.SearchIndexes().UpdateOne(ctx, indexName, definition)
+	if err != nil {
+		log.Fatalf("Failed to update the index: %v", err)
+	}
+	// end-update-index
+
+	// start-delete-index
+	// Deletes the specified index
+	err := coll.SearchIndexes().DropOne(ctx, "myIndex")
+	if err != nil {
+		log.Fatalf("Failed to delete the index: %v", err)
+	}
+	// end-delete-index
+
+}