from langchain.document_loaders import CSVLoader
from swarms.memory import qdrant

loader = CSVLoader(
    file_path="../document_parsing/aipg/aipg.csv",
    encoding="utf-8-sig",
)
docs = loader.load()


# Initialize the Qdrant instance
# See qdrant documentation on how to run locally
qdrant_client = qdrant.Qdrant(
    host="https://697ea26c-2881-4e17-8af4-817fcb5862e8.europe-west3-0.gcp.cloud.qdrant.io",
    collection_name="qdrant",
    api_key="BhG2_yINqNU-aKovSEBadn69Zszhbo5uaqdJ6G_qDkdySjAljvuPqQ",
)
qdrant_client.add_vectors(docs)

# Perform a search
search_query = "Who is jojo"
search_results = qdrant_client.search_vectors(search_query)
print("Search Results:")
for result in search_results:
    print(result)