This two-part tutorial series will walk you through the steps in implementing Retrieval Augmented Generation (RAG) based on Amazon Bedrock, Amazon Titan, and Amazon OpenSearch Serverless.

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The New Stack

Learn how to implement Retrieval Augmented Generation (RAG) with Amazon Bedrock, Amazon Titan, and Amazon OpenSearch Serverless in this two-part tutorial series. The first part focuses on setting up the environment, converting datasets into text embeddings, and ingesting them into Amazon OpenSearch Serverless Vector DB. The second part will explore leveraging the output to increase the accuracy of the Titan model's response.

Semantic Search with Amazon OpenSearch Serverless and Titan

Step 2: Create the Amazon OpenSearch Serverless Collection and Index