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SherryLiu c63c67e5a5 initial commit 11 months ago
Documents 40c0e98dea Runnable Version. Experimental changes and new files. 11 months ago
Indexing_Split.py 40c0e98dea Runnable Version. Experimental changes and new files. 11 months ago
Modelfile c63c67e5a5 initial commit 11 months ago
RAG_app_copy.py ef69f16e46 integrated taide model to RAG_strategy 11 months ago
RAG_strategy.py ef69f16e46 integrated taide model to RAG_strategy 11 months ago
README.md c63c67e5a5 initial commit 11 months ago
add_vectordb.py 40c0e98dea Runnable Version. Experimental changes and new files. 11 months ago
docker-compose.yml c63c67e5a5 initial commit 11 months ago
dockerfile c63c67e5a5 initial commit 11 months ago
requirements.txt 40c0e98dea Runnable Version. Experimental changes and new files. 11 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.