{"id":27182961,"url":"https://github.com/aadityarajgupta/aethercare_chatbot","last_synced_at":"2026-04-29T19:34:34.449Z","repository":{"id":258687904,"uuid":"873998825","full_name":"AadityaRajGupta/AetherCare_ChatBot","owner":"AadityaRajGupta","description":"This repository contains a healthcare-based chatbot project that integrates advanced generative AI techniques with document retrieval for answering medical queries. 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The system retrieves relevant documents and generates answers based on user queries, using advanced machine-learning techniques.\n\n## Project Structure\n\n\u003c!-- - `environment.yml`: Contains the dependencies for setting up the Conda environment.--\u003e\n\n\u003c!-- - `src/`: The source code for the project with scripts to handle document retrieval and QA. --\u003e\u003c!-- - `README.md`: Project documentation (this file). --\u003e\n- `testing.ipynb`: A Jupyter notebook to run initial checks and tests for the project.\n- `models/`: Stores local models like Llama used in the project.\n- `data/`: Placeholder for any input or processed data files.\n  \n## Requirements\n\nBefore running the project, you need to set up the environment with the necessary dependencies. The following instructions detail the steps to do this.\n\n## Installation\n\n### Step 1: Create a Conda Environment\n\nTo ensure that all dependencies are correctly installed, start by creating a Conda environment using the provided `requirements.txt` file.\n\n```bash\n# Clone the repository\ngit clone https://github.com/AadityaRajGupta/AetherCare_ChatBot.git\ncd AetherCare_ChatBot\n\n# Create the environment\nconda create -n health-bot python=3.8 -y\n\n# Activate the environment\nconda activate health-bot\n\n# Download the Dependencies\npip install -r requirements.txt\n```\n\n### Step 2: Download the quantize model from the link provided in model folder \u0026 keep the model in the model directory:\n\n```ini\n## Download the Llama 2 Model:\n\nllama-2-7b-chat.ggmlv3.q4_0.bin\n\n\n## From the following link:\nhttps://huggingface.co/TheBloke/Llama-2-7B-Chat-GGML/tree/main\n```\n\n\n### Step 3: Set up API Keys\n\nMake sure you have your **Pinecone API key** and any other necessary keys configured in your environment:\n\n```bash\n# Set Pinecone API key\nPINECONE_API_KEY=your_pinecone_api_key\n# Enter the index name\nINDEX_NAME=your_index_name\n```\n### Step 4: Store String Data to Pinecone\n\nRun the following command to store string data to Pinecone:\n\n```bash\npython store_index.py\n```\n\n### Step 5: Run the Application\n\nAfter setting up the index, run the application using:\n\n```bash\npython app.py\n```\n\n## If You Want to Implement on Your Own, Follow These Steps\n\n### Initial Testing\n\nBefore exploring the full project structure, run the initial test notebook to ensure everything is working as expected.\n\n1. Open the `testing.ipynb` Jupyter notebook:\n\n    ```bash\n    jupyter notebook testing.ipynb\n    ```\n\n2. Run the notebook cells to test:\n   - Setting up Pinecone.\n   - Creating embeddings using the Hugging Face model.\n   - Perform a similarity search and generate answers using the LLM model.\n\n\n## Testing\n\nFor testing, utilize the Jupyter Notebook to ensure that:\n- Embeddings are created correctly.\n- The vector store is properly initialized.\n- QA retrieval returns valid results.\n\nOnce satisfied with the initial tests, move the code to the organized repository structure and refine the functionality.\n\n---\n\nThis README file outlines how to:\n- Create the environment with Conda.\n- Download dependencies.\n- Test the project using the notebook.\n- Transition to a more structured codebase for further development.\n\nMake sure to replace placeholders (e.g., API keys, repository URLs) with the actual project details.\n\n```\n\nFeel free to adjust any parts as needed!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faadityarajgupta%2Faethercare_chatbot","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faadityarajgupta%2Faethercare_chatbot","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faadityarajgupta%2Faethercare_chatbot/lists"}