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This repository illustrates how you can build a Retrieval Augmented Generation (RAG) based application using Databricks and AWS

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aws-samples/aws-genai-for-databricks

Zero to Generative AI using Databricks and AWS

This repository consists of a simple Streamlit chatbot application. It provides the user interface for a Retrieval Augmented Generation (RAG) based generative AI application on Databricks.

Try it

We deployed a test chat application to: https://zero-to-generative-ai.streamlit.app/

Workshop

To learn more, see Zero to Generative AI with Databricks and AWS.

Getting started

  1. Clone the repository and create a Python Virtual environment.

  2. Run the following commands:

pip install streamlit
pip install boto3
python -m streamlit run app.py
  1. Configure your Databricks Personal Access Token (PAT) and model serving endpoint URL using the user interface.

Security

See CONTRIBUTING for more information.

License

This library is licensed under the MIT-0 License. See the LICENSE file.

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This repository illustrates how you can build a Retrieval Augmented Generation (RAG) based application using Databricks and AWS

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