Replaces hash pseudo-embeddings with BAAI/bge-small-en-v1.5 dense +
Qdrant/bm25 sparse legs fused by reciprocal-rank fusion over Qdrant
named vectors. Opt-in via QDRANT_EMBEDDINGS=1; offline fallback keeps
hash embedder relabeled qdrant-hash-fallback with an honest warning.
Live-verified semantically on a compendium subset. 27 new offline-safe
tests; pytest 713 passed / 25 skipped.
Co-Authored-By: Claude <[email protected]>
Multi-tenant retrieval per GOALS.md Pillar 7: compendium spells/
monsters/magic items indexed into the qdrant_rules collection named
and dimensioned by the repo's own collections config, payload-filter
namespacing (category + system_id + tags), deterministic UUID5 point
ids, keyword indexes on filter fields — all over raw httpx REST so the
transport stays trivially mockable. Embedding is a documented
lexical-hash embedder (MD5-bucketed, L2-normalized), not semantic;
real models are a single-function swap. lore-lookup gains semantic=true
with provenance retrieval: qdrant | substring | substring_fallback,
zero network when disabled, one honest warning when unreachable,
read-path degradation only (canon-write strictness unchanged).
29 red-first tests; suite at 279.
Co-Authored-By: Claude <[email protected]>
