kendra-bedrock-cdk-python

appsync-stepfunctions-express-sync-bedrock-sam/README.md

@@ -1,4 +1,4 @@
-# Prompt Chaining with AWS AppSync, AWS Step Functions and Amazon Bedrock.
+# Prompt chaining with AWS AppSync, AWS Step Functions and Amazon Bedrock.
 
 The AWS Serverless Application Model (SAM) template deploys an AWS AppSync serverless GraphQL endpoint connected to an AWS Step Functions state machine. This example demonstrates how to invoke an Express state machine synchronously and utilize AWS Step Functions intrinsic functions to chain two prompts, which are then used to invoke the Amazon Bedrock language model. The output from the state machine execution is returned to the client within 29 seconds, using the GraphQL API. This no-code example showcases how the results from the first prompt can be used to provide context for the second prompt, allowing the language model to deliver a highly-curated response. By chaining these prompts, the system can leverage the capabilities of the language model to generate more meaningful and contextual outputs.
 

kendra-bedrock-cdk-python/README.md

@@ -1,4 +1,4 @@
-# AWS Lambda to Amazon Kendra to Amazon Bedrock
+# AWS Lambda from Amazon Kendra to Amazon Bedrock
 
 This pattern contains a sample stack that utilizes an AWS Lambda function to retrieve documents from an Amazon Kendra index and then pass it to Amazon Bedrock to generate a response. The pattern includes usage of the Amazon S3 data source connector. 
 

kendra-bedrock-cdk-python/example-pattern.json

@@ -1,5 +1,5 @@
 {
-  "title": "Lambda to Kendra to Bedrock",
+  "title": "AWS Lambda from Amazon Kendra to Amazon Bedrock",
   "description": "AWS Lambda function to retrieve documents from an Amazon Kendra index and pass it to Amazon Bedrock for a generated response.",
   "language": "Python",
   "level": "200",