cover of episode Build Your Own RAG App: A Step-by-Step Guide to Setup LLM locally using Ollama, Python, and ChromaDB

Build Your Own RAG App: A Step-by-Step Guide to Setup LLM locally using Ollama, Python, and ChromaDB

2024/7/5
logo of podcast Machine Learning Tech Brief By HackerNoon

Machine Learning Tech Brief By HackerNoon

Shownotes Transcript

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](https://hackernoon.com/u/nassermaronie)). Learn more about this writer by checking [@nassermaronie's](https://hackernoon.com/about/nassermaronie)) about page,
        and for more stories, please visit [hackernoon.com](https://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.