Skip to content

Deploy a Streamlit application that leverages Snowflake Cortex AI features like LLM Inference and Cortex Search for summarization, search and analysis of support case tickets.

License

Notifications You must be signed in to change notification settings

Snowflake-Labs/sfguide-analyzing-support-cases-using-snowflake-cortex

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

20 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Snowflake - Certified

Streamlining Support Case Analysis with Snowflake Cortex

Overview

Support case analysis is a critical task for any product-driven company. Understanding customer issues, their frequency, and patterns can significantly enhance product development and customer satisfaction. By completing the below QuickStart guide, you will deploy a Streamlit application that leverages Snowflake Cortex AI features like LLM Inference and Cortex Search for summarization, search and analysis, alongside the LangChain framework to chain together interoperable components for large language models (LLMs).By leveraging Snowflake Cortex, this solution not only processes but also meaningfully summarizes support tickets, aiding in more agile issue resolution and strategic planning.

Step-By-Step Guide

For prerequisites, environment setup, step-by-step guide and instructions, please refer to the QuickStart Guide.

About

Deploy a Streamlit application that leverages Snowflake Cortex AI features like LLM Inference and Cortex Search for summarization, search and analysis of support case tickets.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published