Tune an LLM with data custom to your query.
This project is an Agentic system which uses a stack of LangGraph, LangChain, Ollama, Docker, Transformers, PyTorch and more to scrape CORE research paper database and prepare data for Fine-tuning and/or RAG. This pipeline also evaluates the fine-tuned model and the RAG system based on the prepared data.