Retrieving scholarly articles info using LLMs
- 1 minSee the GitHub repository here
Description
This small project leverages Large Language Models (LLMs) to automatically extract structured data from a set of scholarly articles in PDF format. It uses Mistral, lightweight Retrieval-Augmented Generation (RAG) and LangChain to process the input documents and identify key details specified by the user. The main script returns a JSON file storing the key information retrieved from one or more articles.