Corporate Climate Scorecard

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  Technical Diagram

Inspiration In the wake of urgent climate action, we envisioned a tool that could quantify corporate sustainability efforts and inspire real change. Imagine if businesses could navigate the complexities of sustainability like they check their credit scores.

What it does Utilizing the cutting-edge Llama-Index, our platform provides a robust and dynamic assessment of a company's environmental impact. Firstly, we extract unstructured data from Wikipedia from LlamaIndex data loaders. Next, we performing chunking/segmentation to chunk the long-context data and store the data in MongoDB vectorstore. Finally, given a query we performing LlamaIndex recursive retrieval + document agent architecture to route the query to the most relevant document agent. Finally, we pass the relevant chunks to Llama2 from Together AI for efficient question answering.

How we built it We integrated MongoDB with Llama2 for robust data management and deployed our application on Together.AI to benefit from its collaborative AI capabilities.

Challenges we ran into Synthesizing complex environmental data into a user-friendly index was intricate, and ensuring real-time updates was challenging but crucial for accuracy.

Accomplishments that we're proud of We’ve created a tool that not only assesses but also guides companies towards greener policies, something that didn’t exist in the market before.

What we learned We learned the importance of interdisciplinary knowledge, combining technology, environmental science, and user experience for impactful solutions.

What's next for Corporate Climate Scorecard We aim to refine our algorithms, expand our database, and partner with global corporations to set a new standard for corporate environmental responsibility.

Built With

• llama-index
• mongodb
• together.ai