SnowPro Specialty Gen AI GES-C01

By Snowflake · Question Mode

QuestionQ8

VerifiedSnowflake Document AI

Which workflow should be used to analyze data in unstructured documents with Snowflake Cortex AI features, including Retrieval-Augmented Generation (RAG)?

Explanation

A document RAG pipeline extracts document content, stores embeddings for that content, retrieves the most relevant content through vector similarity, and supplies the retrieved context to an LLM for analysis. PARSE_DOCUMENT extracts document content, EMBED_TEXT_768 produces vector embeddings, and COMPLETE can analyze the retrieved context.

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