vector-db-search
Installation
SKILL.md
Vector DB Search (vector-db-search)
Semantic concept-based search against ChromaDB using Parent-Child chunk retrieval for Phase 2 of the 3-phase search protocol (RLM -> Vector -> Grep).
Contents
Critical Constraints
- Profile Sovereignty: The
--profileparameter is mandatory to ensure queries target the correct collection and embedding space. - API Integrity: Never read SQLite or Parquet backing files directly. Queries must execute through
scripts/query.py. - Search Protocol Placement: Use as Phase 2 when RLM summaries return insufficient detail, before falling back to raw regex grep.