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Create article summaries from RSS feeds

Access this AI accelerator on GitHub

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