ThemecomicMemori
Relational and document databases
Ria opens a relational drawer beside a document cabinet.
Writing
Blog
Fernando Torres on production AI agents and the personal memory profile for AI, plus comicMemori. Start with the AI Agents research series or the comicMemori episodes.
ThemecomicMemoriVector databases, the map drawer at scale
The map drawer expands into several index mechanisms rather than one magical set of partitions.
ThemecomicMemoriCosine similarity, comparing directions
Ria draws two nonzero vectors from a common origin and rotates one through aligned, perpendicular, and opposite positions while Ava watches the score.
ThemecomicMemoriSimilarity search, finding neighbors on the meaning map
Ria places a query card into the map drawer. A flat exact baseline measures every stored vector.
ThemecomicMemoriEmbeddings, coordinates for meaning
Ria feeds two paraphrases and one unrelated sentence through a small model diagram.
ThemecomicMemoriVectors, coordinates on the meaning map
Ria lays the wrong keyword match beside the map drawer, then replaces labels with a coordinate card.
ThemecomicMemoriRAG, the retrieve-then-write workflow
Ria can search permitted records in the archive. Lex can draft from material assembled on the desk.
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