Building Generative AI Apps to Talk to Your Data

Contents

• Introduction Introduction

  • Getting answers from data

    5m 38s
  • (Locked)
    Getting answers from data: Using RAG

    3m 17s
  • (Locked)
    Getting answers from data: Using text-to-SQL

    4m 15s
  • (Locked)
    What we will build: Success in this course

    2m 46s
• 1. Introduction for Conversational Apps with Data 1. Introduction for Conversational Apps with Data

  • Querying unstructured data: RAG

    3m 21s
  • (Locked)
    Querying unstructured data: Hybrid search

    3m 27s
  • (Locked)
    Querying structured data: Text-to-SQL

    7m 19s
  • (Locked)
    Let’s dive in

    1m 14s
• 2. Finding Answers from Unstructured Data with Cortex Search 2. Finding Answers from Unstructured Data with Cortex Search

  • (Locked)
    Opening up unstructured data with RAG

    4m 23s
  • What is Cortex Search?

    9m 40s
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    Loading unstructured data to a Snowflake stage

    5m 41s
  • (Locked)
    Parsing and chunking text

    4m 5s
  • Creating the Cortex Search Service

    3m 14s
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    Building a RAG with Cortex Search

    4m 12s
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    How to measure success

    5m 48s
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    Automatic processing of new documents

    3m 48s
  • Building out the front end

    4m 41s
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    Well done!

    1m 33s
• 3. Answer Questions from Structured Data with Cortex Analyst 3. Answer Questions from Structured Data with Cortex Analyst

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    Avoiding death by dashboard

    4m 51s
  • (Locked)
    Setting up the app

    4m 58s
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    Understanding the semantic model

    8m 18s
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    Working with the semantic model

    4m 37s
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    Using Cortex Analyst

    5m 56s
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    From text-to-SQL to TAG: Creating table-assisted generation

    3m 17s
  • (Locked)
    Expanding the scope of the semantic model

    12m 11s
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    Building the Streamlit app

    11m 41s
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    Congratulations!

    3m 6s