The use case provided in this notebook takes the latest update of an RSS feed from CNN, downloads the article as text, embeds the text into a vector database, uses Google Bison to summarize the text, and provides a summary of the article in a streamlit app.


This notebook outlines how to:

  1. Download an RSS feed and the article text
  2. Make an AI catalog dataset from the RSS feed data/article content data
  3. Embed content into a vector database on DR (using DR API)
  4. Set up GenAI model (LLM) using Google Bison for deployment
  5. Deploy in Datarobot
  6. Build streamlit front-end for for interacting with the deployment
  7. Receive article summaries and recommendations back via Streamlit app
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Last update:
‎01-19-2024 12:15 AM
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