What is the benefit of a larger chunk size in a retrieval-augmented generation (RAG) model?
本练习是课程的一部分
通过我们的互动练习之一，将理论转化为实践
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.
当前练习
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.
