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| -rw-r--r-- | README.md | 6 |
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@@ -14,8 +14,8 @@ First, prepare your local environment by cloning the repository, creating a virt ```bash # Clone the repository -git clone <repository_url> -cd KG_RAG +git clone git clone https://github.com/maszhongming/CS-598-JH-Assignment +cd CS-598-JH-Assignment # Create and activate a conda virtual environment conda create -n kg_rag python=3.10.9 @@ -32,7 +32,7 @@ python -m kg_rag.run_setup Configure your Google API key to use the Gemini model. The recommended LLM for this assignment is **Gemini-2.0-flash**, which is used for Disease Entity Extraction and Answer Generation. - * **Get Your API Key**: You can set up your API key for free by visiting [this link](https://makersuite.google.com/app/apikey) + * **Get Your API Key**: You can set up your API key for free by visiting [this link](https://makersuite.google.com/app/apikey). * **Free Credits & Rate Limits**: While there are free credits available, please be aware of the daily rate limits. Plan your project schedule accordingly to avoid interruptions. * **Update Config File**: Add your API key to the `gpt_config.env` file. |