Files
zeekay 74110d03f8 chat-rag-api: add Qdrant (hanzoai/vector) backend
Extracted from the deployed chat-rag-api:0.7.8-hanzo image; adds a Qdrant
vector store targeting hanzoai/vector as a drop-in for pgvector.

- app/services/vector_store/qdrant_vector.py: QdrantVector(QdrantVectorStore)
  with the id helpers (get_all_ids/get_filtered_ids/get_documents_by_ids),
  delete-by-file_id, and the route's Mongo-style file_id filter translated to
  native Qdrant filters. file_id stored in payload metadata (unique point ids).
- factory.get_vector_store: mode='qdrant' (lazy import; pg/atlas deploys
  unaffected).
- config: VectorDBType.QDRANT + QDRANT_URL/QDRANT_API_KEY/QDRANT_DISTANCE/
  EMBEDDINGS_DIM(1536) + construction branch.
- health: qdrant_health_check (client.get_collections()).
- requirements: langchain-qdrant==0.2.0, qdrant-client==1.12.1.

Verified: pytest tests/test_qdrant_vector.py (4 tests) against in-memory
Qdrant; factory builds QdrantVector with all route methods present.
2026-06-23 21:47:45 -07:00

16 lines
462 B
Python

# app/services/mongo_client.py
import logging
from pymongo import MongoClient
from pymongo.errors import PyMongoError
from app.config import ATLAS_MONGO_DB_URI
logger = logging.getLogger(__name__)
async def mongo_health_check() -> bool:
try:
client = MongoClient(ATLAS_MONGO_DB_URI)
client.admin.command("ping")
return True
except PyMongoError as e:
logger.error(f"MongoDB health check failed: {e}")
return False