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LiveUpdated 2026-11-07 16:40 UTC

Imagine a system where your AI understood deeply what your documents actually mean and…

Imagine a system where your AI understood deeply what your documents actually mean and their relationships to a…

This is a AI post classified by AGK Intelligence as RAG & memory (a launch), kept by the AI Radar because it carries real work, not commentary.

Imagine a system where your AI understood deeply what your documents actually mean and their relationships to a unified ontology. A system where new documents automatically had the ontology applied in a hierarchical manner. Imagine a system where the relationships could be seen visually in a logical and consistent manner. This is what I am building and it isn't vulnerable to the flaws that RAG and Graph DB systems have when applied to very large document stores. The document content isn't ingested, it's abstract meaning is, that is then linked back to the exact section of content in the docum

Posted by π‘«π’‚π’π’Šπ’†π’ 𝑺𝒄𝒐𝒕𝒕 π‘΄π’‚π’•π’•π’‰π’†π’˜π’” πŸ‡¦πŸ‡Ί (2.1k followers) 11 h ago Β· 1 likes Β· 63 views Β· view the original post on X. Kept by the AI Radar as RAG & memory.

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Every post is read and classified by AGK Intelligence: what it is, which market it belongs to, and whether the link is a real tool. 65.2k posts from 5k X accounts over the last 14 days, 10.5k tools, 19 markets. New posts are collected several times an hour and the full ranking is recomputed every hour β€” last update 2026-11-07 16:40 UTC. Full method.