"""Phase 4 — the retrievable corpus.

`content/` is the source of truth. This package turns it into the two indexes
the AI console reads:

* **vectors** in Qdrant, one point per chunk, with the payload that lets the
  query path filter *before* searching (`area`, `confidence`);
* **keywords** in SQLite FTS5, one row per chunk, so exact tokens (repo names,
  `LoRaWAN`, `MQTT`, dates) are not lost the way they are with vectors alone
  (decision D10, hybrid retrieval).

Everything here is driven by `python3 -m corpus.cli`; `docs/phase-4-notes.md`
is the operator manual and records what was measured. The pipeline is
Provider-agnostic by design: `corpus/embeddings.py` is the only place that knows
how a vector is made, and the provider + model + dimension are recorded per
collection so a provider change is a governed migration, not silent corruption.

Standard library only, plus the repository's own validator (`tools/`). No new
dependency, no Node, no framework (AGENTS.md section 4.1).
"""

__all__ = ["config", "loader", "chunker", "payloads", "embeddings", "qdrant", "store", "pipeline", "freshness"]