Build a generative AI Slack chat assistant using Amazon Bedrock and Amazon Kendra
Machine Learning Blog
This article covers how to build a generative AI Slack chat assistant using Amazon Bedrock, Amazon Kendra, and other AWS services. The chat assistant can understand natural language queries, retrieve relevant information from multiple data sources (FAQs and web content crawled by Amazon Kendra), and provide human-like responses generated by large language models (LLMs) through Amazon Bedrock.
Specifically, the article covers:
- The solution architecture and workflow
- Why Amazon Kendra is well-suited for building retrieval-augmented generation (RAG) applications
- Prerequisites and steps to deploy the solution using AWS CloudFormation
- Testing the chat assistant on the AWS Management Console and Slack workspace
- Clean up steps to remove the deployed resources
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