RAG 'n' ROLL App: Snowflake & Mistral Integration

Overview

This application is a submission for the "RAG 'n' ROLL: Amp up Search with Snowflake & Mistral" competition. It is a Streamlit-based dashboard leveraging Retrieval-Augmented Generation (RAG) powered by Snowflake and the Mistral-Large-2 language model.

Access

Explore the app here: RAG 'n' ROLL Dashboard

Features

• RAG-Powered Search: Combines data retrieval and language generation for accurate responses.
• Data Sources: Includes state-level environmental data, NASA datasets, and federal documents.
• Streamlit Interface: Provides a simple, interactive user experience.

Technology Stack

• Streamlit for the dashboard.
• Snowflake for database and data processing.
• Mistral-Large-2 for language generation.
• Python for backend integration.

How It Works

1. Users submit queries through the dashboard.
2. Relevant data is retrieved from Snowflake.
3. The Mistral model processes data to generate detailed responses.

Use Cases

• Environmental research and policy analysis.
• Insights from state-specific data.

Contact

For inquiries or feedback, contact Ananya Hari Narain.