| """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", | |
| ] | |