Steps for installing and running DeepSeek-RAG-Chatbot
To install and run DeepSeek-RAG-Chatbot, you need to follow these steps:
pre-conditions::
- Operating System: Windows, macOS or Linux
- Hardware requirements: at least 8GB of RAM (16GB recommended), if using GPU acceleration needs to support CUDA graphics cards
- Software dependencies: Python 3.8+, Git, Docker (optional)
step by step::
- Cloning Project:
git clone https://github.com/SaiAkhil066/DeepSeek-RAG-Chatbot.git
Then go to the project directory - Setting up the Python environment: creating and activating a virtual environment, installing dependencies
pip install -r requirements.txt - Install and configure Ollama: download Ollama and pull the DeepSeek R1 model
ollama pull deepseek-r1:7b - (Optional) Deploying with Docker: Run in the project root directory
docker-compose up - Launching the app: running the Streamlit app
streamlit run app.py
After successful completion, the browser will automatically open http://localhost:8501 to start using the chat interface. The Docker deployment method simplifies the installation process and is suitable for users who do not want to manually configure the environment.
This answer comes from the articleDeepSeek-RAG-Chatbot: a locally running DeepSeek RAG chatbotThe
May not be reproduced without permission:AI productivity tools " How to install and run DeepSeek-RAG-Chatbot locally?
