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

  1. Profile Sovereignty: The --profile parameter is mandatory to ensure queries target the correct collection and embedding space.
  2. API Integrity: Never read SQLite or Parquet backing files directly. Queries must execute through scripts/query.py.
  3. Search Protocol Placement: Use as Phase 2 when RLM summaries return insufficient detail, before falling back to raw regex grep.

Quick start

Installs
25
GitHub Stars
7
First Seen
Mar 6, 2026