Improve AI assistant response accuracy using Knowledge Bases for Amazon Bedrock and a reranking model

This article discusses techniques to improve the accuracy and quality of responses from AI chatbots and virtual assistants using Retrieval Augmented Generation (RAG) and reranking models with Knowledge Bases for Amazon Bedrock.

Specifically, the article covers:

• Overview of RAG and reranking techniques
• Creating a knowledge base using The Great Gatsby book
• Generating questions and answers using an LLM
• Retrieving answers using standard RAG and two-stage RAG with reranking
• Evaluating results using the RAGAS framework
• Comparison of standard RAG vs. two-stage RAG with reranking
• Conclusion on improving chatbot response accuracy