Commit a39804f
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docs(ops): add hybrid-search lean/full switch (fit Supabase free tier on demand)
Adds a reversible downgrade path so the project can drop to the Supabase
free-tier 500 MB cap when a paid plan isn't in place, and restore Tier 2
semantic search when it is. Most of the machinery already existed from
the Tier 1 -> Tier 2 work; this lands the missing downgrade DDL + the
operator runbook.
- docs/sql/supabase-cached-jobs-lean-mode.sql: the LEAN half. Drops the
HNSW index, the hybrid RPC, and the embedding column (the bulk of
cached_jobs's footprint — the ~20k rows of job text are cheap, the
per-row 1536-dim vectors + HNSW graph are what blow past 500 MB), then
a VACUUM FULL to return the pages to the OS. Idempotent. The vector
extension + all Tier 1 lexical/filter indexes are deliberately left
intact.
- docs/deployment.md: "Hybrid-search lean/full switch" runbook —
full->lean and lean->full step orders, the JOB_SEARCH_HYBRID_ENABLED
flag (already gates both search + embed-on-write, self-degrades on
error), and the PERFDB-4 prerequisite (pin the base-table DDL via
pg_dump before the first downgrade so "restore to full" is
reproducible).
- docs/README.md: register the new SQL file in the migrations index.
The UPGRADE half is the existing supabase-cached-jobs-pgvector.sql +
-hybrid.sql + scripts/backfill_job_embeddings.py (idempotent/resumable,
~20k rows ~= ~200 embedding calls). No application code change — the
flag wiring is already in src/cached_jobs_store.py + src/config.py.
Not yet done (needs live DB access — Supabase MCP was disconnected this
session): (1) confirm the exact embeddings+HNSW footprint to verify lean
mode lands under 500 MB; (2) capture the cached_jobs base-table DDL into
a tracked migration (PERFDB-4) as the restore safety net. Both have
ready-to-run queries in the runbook.1 parent d5518a6 commit a39804f
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