Building a RAG System With Gemma, Hugging Face & Elasticsearch

Follow this step-by-step guide to build a Retrieval Augmented Generation (RAG) system using Gemma, Hugging Face, and Elasticsearch.

This blog will show you how to build a RAG system using Elasticsearch and Python to perform a semantic search and create a question-answering service that runs on your private data set. You will fetch the most relevant documents as a context window and send them to the Gemma model along with a question to be answered.