Build a scalable, context-aware chatbot with Amazon DynamoDB, Amazon Bedrock, and LangChain
Database Blog
This article discusses how to build a scalable, context-aware chatbot using Amazon DynamoDB, Amazon Bedrock, and LangChain.
Specifically, the article covers:
- The importance of context awareness in chatbots
- Using DynamoDB with LangChain for managing chat history
- An overview of the solution architecture
- Setting up DynamoDB chat history with LangChain
- Creating a chat prompt template
- Integrating Amazon Bedrock with LangChain
- Maintaining context across interactions
- Testing the integration
- Creating a UI with Streamlit for testing the chatbot
- A summary highlighting the benefits and potential of this approach
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