feat: Roadmap K — RAG corpus management with score-based eviction (v0.13.0)

- Config: RAG_MAX_VECTORS, high/low water marks, grace period, weights
- rag.py: get_collection_count, evict_batch, maybe_evict (asyncio.Lock),
  get_rag_operational_stats, EVICTION_LOG, retrieval_count tracking
- routers/rag_admin.py: GET /api/rag/stats, POST /api/rag/flush (admin)
- Wire maybe_evict() into upload.py and ingest.py after Qdrant upsert
- 16 tests: collection stats, eviction scoring, pinned/grace/batch guards,
  endpoint auth, race lock, flush, operational stats shape
- Bump to v0.13.0

routers/ingest.py

@@ -7,7 +7,7 @@ from fastapi import APIRouter, HTTPException, Request
 from fastapi.responses import JSONResponse
 
 from config import COMPLETIONS_API_KEY
-from rag import chunk_text, QDRANT_URL, EMBED_URL, EMBED_MODEL, RAG_COLLECTION
+from rag import chunk_text, maybe_evict, QDRANT_URL, EMBED_URL, EMBED_MODEL, RAG_COLLECTION
 
 log = logging.getLogger("jarvischat")
 router = APIRouter()
@@ -61,4 +61,9 @@ async def ingest_content(request: Request):
             else:
                 log.warning(f"Ingest Qdrant upsert failed for chunk {i}: {upsert_resp.status_code}")
 
+    if ingested > 0:
+        evicted = await maybe_evict()
+        if evicted:
+            log.info(f"Evicted {evicted} vectors after ingest")
+
     return {"chunks_ingested": ingested, "source": source, "message": f"Ingested {ingested} chunks from {source}"}