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GENERATIVE-AI-ENGINEER-ASSOCIATE · Question #8

Generative AI Engineer is helping a cinema extend its website's chat bot to be able to respond to questions about specific showtimes for movies currently playing at their local theater. They already h

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Designing and Implementing RAG Applications with Structured Data on Databricks

Question

Generative AI Engineer is helping a cinema extend its website’s chat bot to be able to respond to questions about specific showtimes for movies currently playing at their local theater. They already have the location of the user provided by location services to their agent, and a Delta table which is continually updated with the latest showtime information by location. They want to implement this new capability in their RAG application. Which option will do this with the least effort and in the most performant way?

Options

  • ACreate a Feature Serving Endpoint from a FeatureSpec that references an online store synced
  • BQuery the Delta table directly via a SQL query constructed from the user's input using a text-to-
  • CSet up a task in Databricks Workflows to write the information in the Delta table periodically to an
  • DWrite the Delta table contents to a text column, then embed those texts using an embedding

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Topics

#RAG#Feature Store#Real-time Data Serving#Structured Data Retrieval
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