# RagFoundations

**Repository Path**: mirrors_elastic/RagFoundations

## Basic Information

- **Project Name**: RagFoundations
- **Description**: python jupyter files for Elastic GenAI Search Engineer class
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-08-26
- **Last Updated**: 2025-09-27

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

Project Title: Elastic GenAI Search Engineer - RAG Foundations
Description: A module in the class for getting started with RAG and Elasticsearch.
Features: Elasticsesarch connection, python, jupyter, openai gpt4.x
Installation:  

System requirements: none
Dependency management: (e.g., npm install, pip install).
Configuration steps.
Usage: Examples and instructions on how to run and use the project, potentially with code snippets or command-line examples.
Contributing: Guidelines for how others can contribute to the project, including:
Code style guidelines.
How to submit bug reports or feature requests.
Pull request process.
License: Information about the project's license, specifying how others can use, modify, and distribute the code.
Credits/Acknowledgments: Recognition of individuals or resources that contributed to the project.
Tests: Instructions on how to run tests for the project, if applicable.
Badges: Visual indicators of project status, such as build status, code coverage, or license type, often linked from continuous integration services.
Contact/Support: Information on where users can find support or ask questions.