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Building Generative AI Apps to Talk to Your Data

中级技能水平
更新时间 2026年6月
Build conversational AI apps that answer questions from your data with Cortex Search and Cortex Analyst on Snowflake.
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SnowflakeArtificial Intelligence
4小时
27 视频
54 道练习
2,700 XP
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课程描述

Most of your organization's knowledge is locked inside tables, PDFs, and documents that only technical users can query. What if anyone could just ask? In this course, you'll build generative AI apps on Snowflake that let people talk to their data in plain language. You'll learn when to reach for RAG, hybrid search, or text-to-SQL, then build working chatbots with Cortex Search for documents and Cortex Analyst for tables, each with a Streamlit front end. By the end, you'll turn raw data into answers the whole business can use.

先决条件

Generative AI Essentials with Snowflake
1

Introduction to building conversational apps with data

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.
开始章节
2

Finding answers from unstructured data with Cortex Search

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.
开始章节
3

Answer questions from structured data with Cortex Analyst

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.
开始章节
Building Generative AI Apps to Talk to Your Data
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