Thanks, we're just starting to optimize more for the semi-structured data. So far, we've been parsing tables into Markdown and running them through the contextualized embedding model with no overlap, taking advantage of how it strings together chunks. This isn't great for big files so we're exploring agentic exploration (slow but good for more structured numerical data) and automated graph creation (promising for more relational data).

Love the auto-process markdown idea, we'll add it to our roadmap :D