With how we build it, the content doesn't really matter. The AI and Typesense embedding model handles many of the relationships, so the AI tools don't need to do all the work. Mostly just calling "search_knowledge".
Most teams do not suffer from a lack of information. They suffer from context being scattered across notes, chats, docs, URLs, tickets, and AI sessions, with no reliable way to retrieve the right piece at the right time. Even a good search is not enough if the underlying memory layer is fragmented or opaque.
We have not seen many setups that preserve context and decisions well over time without ongoing cleanup. Usually, people fall back on some combination of repeated prompting, summaries, manual docs, or isolated memory within a single tool. That works for a while, but it decays.
Our view is that the better approach is not endless summarization. It provides teams with a shared memory layer where notes, decisions, URLs, and reusable context remain inspectable, editable, and portable, so retrieval has something durable to work with in the first place.