What is the benefit of a larger chunk size in a retrieval-augmented generation (RAG) model?
この演習はコースの一部です
理論を実践に変える、インタラクティブな演習のひとつをお試しください
In this chapter, learn how to choose between RAG, hybrid search, and text-to-SQL for your data and sketch the architecture of a conversational app on Snowflake.
In this chapter, learn how to build a RAG app with Cortex Search by loading, parsing, and chunking documents, measuring answer quality, and shipping it with Streamlit.
現在の演習
In this final chapter, learn how to turn structured tables into a natural-language interface with Cortex Analyst, using a semantic model to generate accurate SQL and serve answers through a Streamlit app.
