Text and tables pulled out cleanly — structure kept, not flattened
Split into meaning-units — each embedded as a vector so search matches intent, not keywords
Every chunk tagged & classified — source, date, type, entity — so it's filterable and traceable
Linked into the knowledge graph — indexed & ready to retrieve
Ingest
Extract
Chunk
Tag
Link
narrated · 5 steps · loops
One tile, the mechanism explained: ingestion turns raw, messy sources into structured, searchable knowledge —
extract, chunk, embed, tag, then link into the graph. Generic by design — it explains the brain, not any one client.