“Jina Embeddings” offers a comprehensive guide to creating a Retrieval Augmented Generation (RAG) chatbot. The article introduces LlamaIndex, a data framework for Large Language Models (LLMs), and Mixtral Instruct, a language model hosted on HuggingFace. It explains how RAG compensates for LLMs’ small input context windows by drawing on relevant parts of documents or entire document repositories. The guide provides detailed steps for setting up a RAG system using Jina Embeddings to index document elements and store them in LlamaIndex’s vector store and search engine. It also includes instructions for preparing prompts and assembling the query engine. The article is aimed at users who want to leverage AI technology without complex operations engineering or model training.