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Snowflake AI Toolkit is an AI Accelerator and Playground for enabling AI in Snowflake. It is an Plug and Play Streamlit based Native App that can be used to explore, learn and build rapid prototypes of AI Solutions in Snowflake powered by the Snowflake's Cortex and AI Functions.

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Snowflake AI Toolkit

Snowflake AI Toolkit is an AI Accelerator and Playground for enabling AI in Snowflake. It is an Plug and Play Streamlit based Native App that can be used to explore, learn and build rapid prototypes of AI Solutions in Snowflake powered by the Snowflake's Cortex and AI Functions.

Features

Playground

An interactive environment where users can chat and experiment with Snowflake Cortex functions, test prompts, and and play around with cortex functions.

Build

A dedicated section for constructing and deploying data pipelines and workflows using Snowflake Cortex's powerful AI capabilities, enabling seamless integration with your Snowflake databases and tables

  • Text completion and generation using the COMPLETE function
  • Retrieval-Augmented Generation (RAG) for question answering with your own data
  • Fine-tuning large language models on your custom datasets

Search

Get a hybrid (vector and keyword) search engine on your text data in minutes,

  • Create and manage Cortex Search Service
  • Use Cortex Search for your RAG Application
  • Use Cortex Search Powered Chat

Agent

Cortex Agents orchestrate across both structured and unstructured data sources to deliver insights.

  • Create and Manage Cortex Agent Instances
  • Test the Agent against the Data
  • Utilize Cortex Search and Cortex Analyst through Agents

Prerequisites

Before you begin, ensure you have met the following requirements:

  • Snowflake Account: Ensure you have an active Snowflake account in a region where Cortex functionalities are supported. For detailed information, refer to the Availability Region documentation.
  • Private Preview Access: To try private preview models in Snowflake, you need to contact your Snowflake account team to request access to the private preview feature.
  • Role Permissions: ACCOUNTADMIN or equivalent role with permissions to create:
    • Stages
    • Databases
    • Other resources
  • Python: Version 3.7 or higher.
  • Streamlit: Installed on your local machine.
  • Snowflake-CLI : Install snowflake-cli through pip
  • Model Availability: claude-4-sonnet and claude-4-opus is available only in AWS US (cross-region).

Installation

  1. Clone the repository:

    git clone https://github.com/sgsshankar/Snowflake-AI-Toolkit.git
    cd snowflake-ai-toolkit
  2. Install dependencies (only required for local development):

    pip install -r requirements.txt

    All necessary libraries are listed in requirements.txt.

Setup

The application will automatically handle:

  • Database creation
  • Stage setup
  • Required resource initialization

Make sure your Snowflake role has the necessary privileges for these operations.

To configure the application mode, update the mode parameter in src/settings_config.json:

  • Set to "debug" for local development and editing.
  • Set to "native" for running natively in Snowflake.

Authentication for Cortex Agent – JWT Token Support Only

This app currently supports only JWT-based authentication using RSA key pairs for Cortex Agents. OAuth is not supported at this time.

Step 1: Generate RSA Key Pair

openssl genrsa 2048 | openssl pkcs8 -topk8 -inform PEM -out rsa_private_key.p8 -nocrypt
openssl rsa -in rsa_private_key.p8 -pubout -out rsa_public_key.pub

Step 2: Upload Public Key to Snowflake

  1. Copy the content from rsa_public_key.pub (exclude -----BEGIN PUBLIC KEY----- headers).
  2. In Snowflake, run:
alter user <your_username> set rsa_public_key='<paste_public_key_here>';
  1. Retrieve the public key fingerprint:
desc user <your_username>;

Use the fingerprint in rsa_public_key_fp.

Step 3: Add to settings_config.json

  • Paste full contents of rsa_private_key.p8 into rsa_private_key (add \n).
  • Paste fingerprint into rsa_public_key_fp.

For more details, refer to the Snowflake documentation.

Running the App

Locally

Launch the application locally using:

streamlit run streamlit_app.py

Natively on Snowflake

To deploy the application natively in Snowflake, use the following command:

snow streamlit deploy --account "<your_account>" --user "<your_username>" --password "<your_password>" --role "<your_role>" --warehouse "<your_warehouse>" --database "<your_database>" --replace

Replace the placeholders (<your_account>, <your_username>, etc.) with your actual Snowflake account details. When running natively in Snowflake, installing dependencies from requirements.txt is not needed.

Project Structure

File/Directory Description
src/ Source code for setup and styling
src/setup.py Setup and initialization code
src/styles.css Custom styling
src/build.py Build mode functionality
src/cortex_functions.py Core functions for Cortex operations
src/query_result_builder.py Query result handling and display
src/playground.py Playground mode functionality
src/rag.py RAG mode functionality
src/fine_tune.py Fine-tuning functionality
src/search.py Cortex Search Functionality
.gitignore Git ignore file
requirements.txt Project dependencies
streamlit_app.py Main application entry point

Troubleshooting

Common issues and solutions:

  1. Snowflake Permission Errors

    • Verify role privileges for database and stage creation
    • Ensure Cortex functionalities are enabled
  2. Dependency Issues

    • If pandas/pyarrow installation fails:
      pip install pandas pyarrow
  3. Connection Issues

    • Verify Snowflake account credentials
    • Check network connectivity
    • Ensure proper role assignments

Contributing

We welcome contributions! Please:

  1. Fork the repository
  2. Create a feature branch
  3. Submit a pull request

Support

For assistance:

  • Open an issue in the GitHub repository
  • Contact project maintainers
  • Check documentation for common solutions

Warranty

The Software is provided as Open Source. This software is provided “as is” and any express or implied warranties, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose are disclaimed. In no event shall the owner or contributors be liable for any direct, indirect, incidental, special, exemplary, or consequential damages (including, but not limited to, procurement of substitute goods or services; loss of use, data, or profits; or business interruption) however caused and on any theory of liability, whether in contract, strict liability, or tort (including negligence or otherwise) arising in any way out of the use of this software, even if advised of the possibility of such damage.

Legal

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this tool except in compliance with the License. You may obtain a copy of the License at: http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

This is an Open Source repository and not an official Snowflake offering. This tool is not endorsed by Snowflake or any of the previous or current employers of the developers.

Trademarks

This project may contain trademarks or logos for projects, products, or services. SNOWFLAKE is a trademark of Snowflake Computing, Inc in the United States and/or other countries. Any use of third-party trademarks or logos are subject to those third-party's policies.

About

Snowflake AI Toolkit is an AI Accelerator and Playground for enabling AI in Snowflake. It is an Plug and Play Streamlit based Native App that can be used to explore, learn and build rapid prototypes of AI Solutions in Snowflake powered by the Snowflake's Cortex and AI Functions.

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