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import os
from qdrant_client import QdrantClient
from langchain_qdrant import QdrantVectorStore
from langchain_openai import OpenAIEmbeddings
from dotenv import load_dotenv
load_dotenv()
embeddings = OpenAIEmbeddings(model="text-embedding-3-small")
client = QdrantClient(
api_key=os.environ["QDRANT_API_KEY"],
url=os.environ["QDRANT_URI"]
)
vector_store = QdrantVectorStore(
client=client,
collection_name=os.environ["QDRANT_COLLECTION"],
embedding=embeddings,
)
retriever = vector_store.as_retriever()
if __name__ == '__main__':
query = "What is the document about?"
results = retriever.invoke(query)
print(f'****query={query}, results=', results)
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