Comment by aster0id
This could become the missing piece for RAG with LLMs for company data. Every query that requires a lookup can use this model and then an agentic LLM can crawl through the hierarchy of results to extract the relevant information for the user's query. I suspect that'll work much better than the current methods of chunking and storing data with metadata like title and author in a vector database and then performing a hybrid search
That's actually an application we've had a lot of success in. This framework allows you to really easily traverse the graph at a thematic level (with sql filtering if needed), then for any high level theme, you can pull up granular excerpts. This site itself is actually just a thin wrapper over our API (https://docs.sturdystatistics.com/).