FIX to existing pattern - Issue#2288

s3-lambda-bedrock-aoss/README.md

@@ -25,9 +25,9 @@ Important: this application uses various AWS services and there are costs associ
     ```
     cd s3-lambda-bedrock-aoss
     ```
-3. From the command line, run `build-layer.sh` that would download required dependencies used to create a Lambda Layer
+3. Build the layers and prepare the application for deployment
     ```
-    ./build-layer.sh
+    sam build
     ```
 4. Use AWS SAM to deploy the AWS resources for the pattern as specified in the template.yml file:
     ```

s3-lambda-bedrock-aoss/dependencies/requirements.txt

@@ -0,0 +1,3 @@
+crhelper
+opensearch-py
+PyPDF2

s3-lambda-bedrock-aoss/src/index_creation.py

@@ -39,7 +39,27 @@ def get_aoss_index_name(resource_properties):
 
 #Function to use the opensearch-py library to create an index within an opensearch collection
 def create_aoss_index(index_name, aos_client):
-    aos_client.indices.create(index=index_name)
+
+    index_body = {
+        "settings": {
+            "index.knn": True
+        },
+        "mappings": {
+            "properties": {
+                "page_vector": {
+                    "type": "knn_vector",
+                    "dimension": 1536
+                },
+                "page_text": {
+                    "type": "text"
+                },
+                "page_number":  { 
+                    "type" : "integer" 
+                }
+            }
+        }
+    }
+    aos_client.indices.create(index=index_name, body=index_body)
     print(f"Created index {index_name}")
 
 #Handles create event of the CloudFormation resource

s3-lambda-bedrock-aoss/src/requirements.txt

@@ -0,0 +1,3 @@
+crhelper
+opensearch-py
+PyPDF2

s3-lambda-bedrock-aoss/template.yaml

@@ -6,12 +6,12 @@ Parameters:
     Type: String
     Description: "The collection name to create for storing vector embeedings"
     ConstraintDescription: "Must be a valid name for Amazon OpenSearch Service Collection."
-    Default: "example_collection"
+    Default: "example-collection"
   AmazonOpenSearchIndexName:
     Type: String
     Description: "The index name to store vector embeedings"
     ConstraintDescription: "Must be a valid Amazon OpenSearch Service Vector Index."
-    Default: "example_index"
+    Default: "example-index"
   BedrockModelRegion:
     Type: String
     Description: Select the Bedrock service region from available options. Please make sure the model is access granted in the selected region Bedrock service. If your AOS service is in a region that is different than the bedrock service region, you may expect cross-region latency.
@@ -161,6 +161,8 @@ Resources:
       ContentUri: dependencies/.
       CompatibleRuntimes:
         - python3.11
+    Metadata:
+      BuildMethod: python3.11
 
   SourceBucket:
     Type: AWS::S3::Bucket
@@ -222,4 +224,4 @@ Outputs:
     Description: S3 Bucket for object storage
   DocumentIngestionLambdaFunctionName:
     Value: !Ref DocumentIngestionLambdaFunction
-    Description: Document Ingestion Lambda Function Name
+    Description: Document Ingestion Lambda Function Name