RAG foundation

Learn foundational concepts for creating a retrieval augmented generation (RAG) application between Elasticsearch and a large language model (LLM). You will create a search application using Python that executes a hybrid search that retrieves highly relevant results from Elasticsearch indices. These retrieved documents will then be fed into the LLM to make the LLM's response more relevant.