Cortex AI

What is it? Why does it matter?

If you’ve been around in the last five years and haven’t been stranded in the jungle like Robin Williams in Jumanji, you’ve probably heard of Large Language Models, or LLMs.

In fact, millions of individuals and businesses use AI tools like ChatGPT daily to enhance productivity and efficiency, with ChatGPT alone reaching over 100 million users within just a few months of its launch.

The flow is more or less always the same:

  1. Open ChatGPT (or equivalent) website.
  2. Give it some context and a question.
  3. Rinse and repeat point 2 until satisfied with the result.

However, the scenario changes if we talk about inputting all of your business data into an LLM. It’s unrealistic to copy-paste millions, if not billions, of rows into a chatbot.

This means we’d have to implement a system that moves all this data out of the warehouse, feeds it to an LLM, and moves the results back to the warehouse for further analysis.

And we all know that moving massive quantities of data is incredibly tedious and expensive.

At this point, it is easier to bring LLMs to your data.

This is exactly the value proposition of Cortex AI. It integrates LLMs directly with your data, allowing you to interact by:

  • Ask direct questions — “Summarize all the negative reviews”
  • Have a coding assistant — “Write a query to calculate churn rate”

and a bunch of other cool stuff.

And that’s just the beginning.

Want more details about what Cortex AI can do? Keep on reading.

Disclaimer

This section of the website is aimed at those who have a basic understanding of Snowflake or data warehousing in general.

 

For a refresher on what a data warehouse is, read this.

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Cortex AI

What is it? Why does it matter?

If you’ve been around in the last five years and haven’t been stranded in the jungle like Robin Williams in Jumanji, you’ve probably heard of Large Language Models, or LLMs.

In fact, millions of individuals and businesses use AI tools like ChatGPT daily to enhance productivity and efficiency, with ChatGPT alone reaching over 100 million users within just a few months of its launch.

The flow is more or less always the same:

  1. Open ChatGPT (or equivalent) website.
  2. Give it some context and a question.
  3. Rinse and repeat point 2 until satisfied with the result.

However, the scenario changes if we talk about inputting all of your business data into an LLM. It’s unrealistic to copy-paste millions, if not billions, of rows into a chatbot.

This means we’d have to implement a system that moves all this data out of the warehouse, feeds it to an LLM, and moves the results back to the warehouse for further analysis.

And we all know that moving massive quantities of data is incredibly tedious and expensive.

At this point, it is easier to bring LLMs to your data.

This is exactly the value proposition of Cortex AI. It integrates LLMs directly with your data, allowing you to interact by:

  • Ask direct questions — “Summarize all the negative reviews”
  • Have a coding assistant — “Write a query to calculate churn rate”

and a bunch of other cool stuff.

And that’s just the beginning.

Want more details about what Cortex AI can do? Keep on reading.

Disclaimer

This section of the website is aimed at those who have a basic understanding of Snowflake or data warehousing in general.

 

For a refresher on what a data warehouse is, read this.

Previous_Chapter_Button
Next_Chapter_Button

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Chapters

Chapters

How Snowflake Works: Intro

Understanding Data Warehousing

Limits of Past Solutions

How It Revolutionize Data Warehousing?

How It Benefit Users: Wrapping Up

Cortex AI

New

What is Cortex AI?

The Case for AI in the Data Warehouse

An Overview of Cortex AI

LLM Functions

Snowflake Copilot

Cortex AI

What is it? Why does it matter?

If you’ve been around in the last five years and haven’t been stranded in the jungle like Robin Williams in Jumanji, you’ve probably heard of Large Language Models, or LLMs.

In fact, millions of individuals and businesses use AI tools like ChatGPT daily to enhance productivity and efficiency, with ChatGPT alone reaching over 100 million users within just a few months of its launch.

The flow is more or less always the same:

  1. Open ChatGPT (or equivalent) website.
  2. Give it some context and a question.
  3. Rinse and repeat point 2 until satisfied with the result.

However, the scenario changes if we talk about inputting all of your business data into an LLM. It’s unrealistic to copy-paste millions, if not billions, of rows into a chatbot.

This means we’d have to implement a system that moves all this data out of the warehouse, feeds it to an LLM, and moves the results back to the warehouse for further analysis.

And we all know that moving massive quantities of data is incredibly tedious and expensive.

At this point, it is easier to bring LLMs to your data.

This is exactly the value proposition of Cortex AI. It integrates LLMs directly with your data, allowing you to interact by:

  • Ask direct questions — “Summarize all the negative reviews”
  • Have a coding assistant — “Write a query to calculate churn rate”

and a bunch of other cool stuff.

And that’s just the beginning.

Want more details about what Cortex AI can do? Keep on reading.

Disclaimer

This section of the website is aimed at those who have a basic understanding of Snowflake or data warehousing in general.

 

For a refresher on what a data warehouse is, read this.

Previous_Chapter_Button
Next_Chapter_Button