Good question! You can use any open source or private model you want with this (just by changing one line in `databridge.toml`), whereas notebook lm is limited to gemini. While our UI component allows it to be used as an open source notebook lm alternative, it is developed for developers building AI apps and doing context management. We are working on adding techniques like CAG (cache augmented generation) and graphRAG for better and more flexible querying, and have custom embedding pipelines for different data types.