GPTVault

GPTVault is a proof-of-concept tool that uses generative models to accumulate knowledge in a structured, explorable form. It starts with a concept, queries a language model for a description, related concepts, and subconcepts, then recursively expands the graph. The resulting knowledge base can be visualized and navigated.

While it was built as an experiment, it turned out to be useful for concept exploration, personal knowledge management, and content ideation. The real challenge with LLM-based tools is not generating text but structuring it so it remains useful over time. GPTVault was an early attempt at solving this problem.