Here is a summary of the key points from the blog post in full sentences:

In late November 2023, Amazon Web Services (AWS) made Knowledge Bases for Amazon Bedrock publicly available for the first time. The purpose was to provide a secure way to connect machine learning models to a company’s private data for Retrieval Augmented Generation (RAG), which helps models generate more relevant responses. The blog post walks through a RAG demo on Bedrock built by NordHero using ReactJS and AWS services. RAG allows models to incorporate custom data to improve responses without exposing the data publicly. For example, financial records could be provided for the model to generate reports. RAG represents an advancement in natural language processing by enabling more diverse and contextually relevant responses. The demo consists of a chat interface where users can ask questions about documents in the S3 knowledge base. Responses are generated using information extracted from relevant documents. The backend uses API Gateway, Lambda, Amazon Bedrock, S3, and Amazon OpenSearch Service. Documents in the knowledge base are vectorized to allow the model to retrieve relevant information. The frontend was built