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SherryLiu c63c67e5a5 initial commit 7 months ago
Documents 40c0e98dea Runnable Version. Experimental changes and new files. 7 months ago
Indexing_Split.py 40c0e98dea Runnable Version. Experimental changes and new files. 7 months ago
Modelfile c63c67e5a5 initial commit 7 months ago
RAG_app_copy.py ef69f16e46 integrated taide model to RAG_strategy 7 months ago
RAG_strategy.py ef69f16e46 integrated taide model to RAG_strategy 7 months ago
README.md c63c67e5a5 initial commit 7 months ago
add_vectordb.py 40c0e98dea Runnable Version. Experimental changes and new files. 7 months ago
docker-compose.yml c63c67e5a5 initial commit 7 months ago
dockerfile c63c67e5a5 initial commit 7 months ago
requirements.txt 40c0e98dea Runnable Version. Experimental changes and new files. 7 months ago

README.md

RAG with TAIDE Model

Prerequisites

  • Docker and Docker Compose
  • Ollama (for creating the taide-local model)

Setting up taide-local

  1. Install Ollama on your VM curl -fsSL https://ollama.com/install.sh | sh
  2. Create the taide-local model ollama create taide-local -f Modelfile

Running the Applciation

  1. Clone this repository. git clone -b public https://github.com/yourusername/your-repo.git
  2. Create a .env file in the project root with your API keys.
  3. Run docker-compose up --build
  4. The application will be available at http://localhost:8000.