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This is a workshop designed for Amazon Bedrock a foundational model service.

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*Description of changes:* retireve -> retrieve By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.

*Issue #, if available:* *Description of changes:* By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.

*Issue #, if available:* *Description of changes:* By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.

Building Agents for Bedrock using AWS Console: In this module, you will walk you through agents for Bedrock setup on AWS console using the customer service agent example. Since we...

I am getting errors about missing packages or incompatible packages when running bedrock_boto3_setup notebook. How do I get around the errors? For example, I am getting the following errors on...

*Issue #, if available:* *Description of changes:* Adding Mistral 7B text generation example using Langchain By submitting this pull request, I confirm that you can use, modify, copy, and redistribute...

I'm having difficulty understanding the process of accessing Code Llama using AWS Bedrock. Could someone please provide detailed instructions or documentation on how to accomplish this task? Any assistance would...

--------------------------------------------------------------------------- AttributeError Traceback (most recent call last) Cell In[21], line 8 4 outputText = "\n" 6 try: ----> 8 response = boto3_bedrock.invoke_model(body=body, modelId=modelId, accept=accept, contentType=contentType) 9 response_body = json.loads(response.get("body").read()) 11...

Hello! I am trying to run the following piece of code from[ this tutorial (chatbot with claude)](https://github.com/aws-samples/amazon-bedrock-workshop/blob/main/04_Chatbot/00_Chatbot_Claude.ipynb): ``` from langchain.chains import ConversationChain from langchain.llms.bedrock import Bedrock from langchain.memory import ConversationBufferMemory...

I got confused because the guide asked for "Sagemaker Studio" but the right options were not present, it seems to have been recently renamed to "Sagemaker Classic" We should update...