This story was originally published on HackerNoon at: https://hackernoon.com/build-your-own-rag-app-a-step-by-step-guide-to-setup-llm-locally-using-ollama-python-and-chromadb. In an era where data privacy is paramount, setting up your own local language model (LLM) provides a crucial solution for companies and individuals alike. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #rag-architecture, #ollama, #python, #ai, #local-large-language-model, #hackernoon-top-story, #build-rag-app, #retrieval-augmented-generation, and more. This story was written by: @nassermaronie. Learn more about this writer by checking @nassermaronie's about page, and for more stories, please visit hackernoon.com. This tutorial will guide you through the process of creating a custom chatbot using [Ollama], [Python 3, and [ChromaDB] Hosting your own Retrieval-Augmented Generation (RAG) application locally means you have complete control over the setup and customization.