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AutoRAG-template

Template for a new AutoRAG project

Installation

pip install -r requirements.txt

Running the project

  1. Download dataset to data folder.
  2. Make .env file using .env.template file.
  3. Run evaluator with the following command.
python main.py --config /path/to/config.yaml
  1. Check the result in the benchmark folder.

You can check the example config file at config folder.

And you can specify qa data path, corpus data path, and project dir if you want.

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KHU RAG demo optimized by AutoRAG

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