Literature reviews are pivotal for academic research, albeit time-consuming. LitLLM tackles this by combining Retrieval Augmented Generation (RAG) and LLMs. Notable features include:

• Automatic paper retrieval through LLM summarized keywords
• Personalized search enhancement with user-provided abstracts and keywords
• Re-ranking papers based on relevance to user input, followed by review generation

LitLLM stands to save authors countless hours, offering a glimpse into a future where AI aids every step of academic writing. Investigate the toolkit