QuestionQ65

VerifiedUse GenAI and LLM capabilities in Snowflake

A Data Scientist is developing a system that answers natural-language questions using a large, private library of a company’s technical documents (for example, PDFs and wikis). The documents are updated every day.

Which architecture should the Scientist use?

Explanation

Retrieval Augmented Generation (RAG) retrieves relevant content from a private knowledge base and uses that retrieved context to generate an answer. It accommodates frequently updated documents through ingestion and retrieval, rather than requiring the model to be retrained whenever the library changes.

Learn more

Community Discussion

No comments yet. Be the first to start the discussion!