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/).
I'm an individual, experienced FAANG software engineer looking to build something in this space. Lmk if you want to chat about building something together
Would love to chat. My email is in my profile if you want to drop me a line.