Building a RAG Agent utilising Claude 3 Opus, Voyage Embeddings, Qdrant Vectro DB and a prechunked dataset from Hugging Face.

You need:

• A Google account for Google Colab, or a local setup for Jupyter Notebook.
• API keys for:
  • Claude 3 Opus
  • Voyage Embeddings
  • Qdrant Vector DB

1. Obtain the Notebook:

   • Clone or download the repository containing the Jupyter Notebook file.

   git clone https://github.com/enesbasbug/Claude_RAG_QnA

2. API Key Configuration:

   • Obtain API keys for Claude 3 Opus, Voyage Embeddings, and Qdrant Vector DB.
   • Place your API keys in the specified sections within the notebook.

• On Google Colab:

  • Open Google Colab and upload the .ipynb file.
  • Follow the instructions within the notebook to install any required dependencies and run the cells.

• Locally on Jupyter Notebook:

  • Ensure Jupyter Notebook is installed on your system. If not, install it using:

    pip install notebook

  • Open the notebook by navigating to the repository's directory and running:

    jupyter notebook

  • Open the .ipynb file in Jupyter Notebook and follow the instructions within the notebook.

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