db/vectorstore.py

import logging
from langchain_qdrant import QdrantVectorStore
from langchain_huggingface import HuggingFaceEmbeddings
from config import COLLECTION, EMBEDDING_MODEL
from db.qdrant_client import client

logger = logging.getLogger(__name__)

logger.info(f"Loading HuggingFace Embeddings model '{EMBEDDING_MODEL}'...")
embeddings = HuggingFaceEmbeddings(
    model_name=EMBEDDING_MODEL
)

logger.info("Initializing LangChain QdrantVectorStore...")
db = QdrantVectorStore(
    client=client,
    collection_name=COLLECTION,
    embedding=embeddings
)