Artificial Intelligence
Author: Aravind Hariharaputran
Aravind Hariharaputran is Database Consultant with the Professional Services team at Amazon Web Services. He is passionate about databases in general with Microsoft SQL Server as his specialty. He helps build technical solutions that assist customers to migrate and optimize their on-premises database workload to the AWS Cloud. He enjoys spending time with family and playing cricket.
Develop a RAG-based application using Amazon Aurora with Amazon Kendra
RAG retrieves data from a preexisting knowledge base (your data), combines it with the LLM’s knowledge, and generates responses with more human-like language. However, in order for generative AI to understand your data, some amount of data preparation is required, which involves a big learning curve. In this post, we walk you through how to convert your existing Aurora data into an index without needing data preparation for Amazon Kendra to perform data search and implement RAG that combines your data along with LLM knowledge to produce accurate responses.