README2.md

Elastic

This directory contains pre-built samples and solutions to help customers get started with the Generative AI using AWS services and Elastic.

Get Started

Prerequisites

• Follow these steps to setup Elastic on AWS and Create an Elastic Cloud Account

Project setup

Local

Follow these steps to install AWS CLI in your local environment.

SageMaker

Follow these steps to create a SageMaker notebook instance.

Navigating the Directory

This directory is subdivided into two sub directories samples and solutions.

• samples sub directory contains small code samples and snippets which can be used to complete small sets of actions and can be integrated into the user code.
• solutions sub directory contains solutions for some use cases and industry scenarios, which can be easily customized and built into full scale production systems.

Samples

Sample	Language
RAG using Elastic and Amazon Bedrock	Python
RAG with hybrid search using Elastic and Amazon Bedrock	Python
RAG with exact search using Elastic and Amazon Bedrock	Python
RAG with euclidean distance retrieval using Elastic and Amazon Bedrock	Python
RAG with dot product retrieval using Elastic and Amazon Bedrock	Python
RAG with sparse retrieval using Elastic and Amazon Bedrock	Python
RAG with Evaluation using Elastic and Amazon Bedrock	Python