"""Knowledge ingestion — the async batch that turns a user's uploaded documents
into knowledge artifacts (KNOWLEDGE_SURFACE_PLAN.md §3.5, tasks N10–N10f).

One click, N documents: `POST /api/v1/knowledge/ingest` selects the caller's
parseable `documents` rows, runs parse → filter → cluster → estimate → extract
over each, and persists the results. The request never waits on it — the route
returns `202 {job_id}` and the caller polls `GET /api/v1/knowledge/jobs/{id}`.

Distinct from `src/knowledge/` (the Tesseract → pgvector RAG path, untouched)
and from `src/knowledge_parsing/` + `src/knowledge_extraction/` (the pipeline
itself, which this package only orchestrates — it owns no extraction logic).
"""

from src.knowledge_ingest.models import DocumentResult, IngestJob, JobStage, JobStatus
from src.knowledge_ingest.store import InMemoryJobStore, JobStore, PostgresJobStore

__all__ = [
    "DocumentResult",
    "IngestJob",
    "JobStage",
    "JobStatus",
    "JobStore",
    "InMemoryJobStore",
    "PostgresJobStore",
]