Knowledge embedding map

See how the RAG system thinks about me.

Each dot is a chunk of my CV in the vector index. Position reflects semantic similarity — chunks about the same topic cluster. Hover or tap a dot to read it. This is a 2D projection of the same embedding space the RAG demo queries against.

Visualisation uses category-grouped layout. The underlying corpus and retrieval are real.