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DataRobot API resources > AI accelerators > Generative AI accelerators > Create article summaries from RSS feeds

Create article summaries from RSS feeds

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The use case provided in this acclerator 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:

  • Download an RSS feed and the article text.
  • Make an AI catalog dataset from the RSS feed data/article content data.
  • Embed content into a vector database on DR (using DR API).
  • Set up GenAI model (LLM) using Google Bison for deployment.
  • Deploy in Datarobot.
  • Build streamlit front-end for interacting with the deployment.
  • Receive article summaries and recommendations back via Streamlit app.
Updated March 5, 2024