Information Extraction from Sustainability Reports in Turkish through RAG Approach

Sustainability plays a central role in addressing global challenges, encompassing environmental, economic, and social principles. Sustainability reports evaluate organizations’ environmental impacts, social responsibilities, and adherence to governance principles, ensuring transparency. In this study, Retrieval Augmented Generation (RAG) technology is employed to assess the Turkish sustainability reports of 10 companies listed in the BIST Sustainability-25 index in terms of ESG (Environmental, Social, Governance) factors. Information retrieval is conducted producing 47 prompts related to ESG criteria. The BM25 and BERTurk approaches identify the most relevant sections in sustainability reports, which are then input into the GPT3.5- Turbo model. According to the results obtained, it is seen that using the BM25 method performed better than BERTurk when extracting information from documents with the RAG approach