This blog discusses building Retrieval Augmented Generation (RAG) applications without using OpenAI's GPT models. The authors demonstrate how to build RAG apps with Mixtral, Milvus, and OctoAI. They also provide an overview of the tools involved in this process: Mixtral as the LLM, Milvus as the vector database, OctoAI for serving the LLM and embedding model, and LangChain as the orchestrator. The tutorial covers setting up RAG tools, loading data into a vector database, querying data with OctoAI and Mixtral, and leveraging Mixtral's multilingual capabilities.