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.
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.
- MongoDB Atlas Vector Search
- Llama2-chat (7B)
- Llama-index
- TogetherAI