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 January 29, 2025
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