https://github.com/snowflake-labs/sfguide-build-data-agents-using-snowflake-cortex-ai
https://github.com/snowflake-labs/sfguide-build-data-agents-using-snowflake-cortex-ai
Last synced: 8 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/snowflake-labs/sfguide-build-data-agents-using-snowflake-cortex-ai
- Owner: Snowflake-Labs
- License: apache-2.0
- Created: 2025-05-21T13:41:21.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-09-24T14:52:10.000Z (8 months ago)
- Last Synced: 2025-09-24T16:40:12.940Z (8 months ago)
- Language: Jupyter Notebook
- Size: 5.27 MB
- Stars: 22
- Watchers: 2
- Forks: 21
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Building Agentic AI Application In Snowflake
## Overview
In this guide, you'll learn how to build a Data Agent using Snowflake Cortex AI that can intelligently respond to questions by reasoning over both structured and unstructured data.
We'll use a custom dataset focused on bikes and skis. This dataset is intentionally artificial, ensuring that no external LLM has prior knowledge of it. This gives us a clean and controlled environment to test and evaluate our data agent. By the end of the session, you'll have a working AI-powered agent capable of understanding and retrieving insights across diverse data types — all securely within Snowflake.
## Step-by-Step Guide
For prerequisites, environment setup, step-by-step guide and instructions, please refer to the [QuickStart Guide](https://quickstarts.snowflake.com/guide/build-agentic-application-in-snowflake/index.html).