Building Applications Using Amazon Bedrock

Find out how you can use Amazon Bedrock to build applications for the most typical Generative AI use cases.

Introduction

• Building Amazon Bedrock applications
• What you should know
• AWS setup
• Set up AWS credentials

1. Key Concepts

• Amazon Bedrock
• LangChain
• Streamlit
• Retrieval-augmented generation (RAG)
• Model overviews

2. Conversational Chatbot

• Use case overview
• Architecture review
• Setting up your knowledge base
• Writing the code: Knowledge base interaction
• Demo: Knowledge base interaction
Part 1
• Coding: Adding Streamlit integration
Part 2
• Coding: Adding Streamlit integration
• Demo: Streamlit UI
3. Application Enhancements
• Conversation history
• Coding: Supporting conversation history
• Demo: Chatbot conversation history
• Introduction to Amazon Kendra
• Setting up the Amazon Kendra index
• Coding: Amazon Kendra integration
• Setting permissions for Amazon Kendra
• Demo: Amazon Kendra and Amazon Bedrock integration
• Agents for Bedrock
• Configuring the Amazon Bedrock agent
• Reviewing project files
• Testing the agent in the AWS console
Conclusion
• Cleanup for Amazon Bedrock
• Continuing your application development with Amazon Bedrock