This study represented research that more precisely identified the capabilities of modern LMMs with characterization and chemical synthesis using relevant images and documents. Asking LMMs chemistry research questions with document retrieval methods was effective primarily due to increased 2024 model proficiency combined with manufacturers' improved Document Retrieval methods. In addition, LMM context combined with literature based prompts was obtained using a no code solution for multimedia, and a low code option for judging responses. Key Takeaways 1) 3.5 Sonnet processed multiple images from recent papers simultaneously for an average score of 9.8.