# LLama3.3-RAG application This project leverages a locally Llama 3.3 to build a RAG application to **chat with your docs** and Streamlit to build the UI. ## Demo Watch the demo video: [](https://www.youtube.com/watch?v=ZgNJMWipirk) ## Installation and setup **Setup Ollama**: ```bash # setup ollama on linux curl -fsSL https://ollama.com/install.sh | sh # pull llama 3.3:70B ollama pull llama3.3 ``` **Setup Qdrant VectorDB** ```bash docker run -p 6333:6333 -p 6334:6334 \ -v $(pwd)/qdrant_storage:/qdrant/storage:z \ qdrant/qdrant ``` **Install Dependencies**: Ensure you have Python 3.11 or later installed. ```bash pip install streamlit ollama llama-index-vector-stores-qdrant ``` --- ## 📬 Stay Updated with Our Newsletter! **Get a FREE Data Science eBook** 📖 with 150+ essential lessons in Data Science when you subscribe to our newsletter! Stay in the loop with the latest tutorials, insights, and exclusive resources. [Subscribe now!](https://join.dailydoseofds.com) [](https://join.dailydoseofds.com) --- ## Contribution Contributions are welcome! Please fork the repository and submit a pull request with your improvements.