v1
latestOpenAPI 3.1.02026-07-13580393.0 KBSearch
Semantic similarity search across all paragraphs (GET)
Search the Urantia Papers using semantic similarity (vector embeddings). Returns conceptually related results even without exact keyword matches. Optional filters: paperId, partId.
Accepts query parameters instead of a JSON body. Designed for AI agents and browser-based access.
get/search/semantic
Query parameters
qstring required
pageinteger nullable
limitinteger
paperIdstring
partIdstring
includestring
Response
Semantic search results with pagination