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# type: ignore
"""
Builds and persists a LangChain Qdrant vector store over the Arize documentation.
"""
from langchain_community.document_loaders import GitbookLoader
from langchain_community.vectorstores import Qdrant
from langchain_openai import OpenAIEmbeddings
loader = GitbookLoader(
"https://docs.arize.com/arize/",
load_all_paths=True,
)
documents = loader.load()
embeddings = OpenAIEmbeddings(
model="text-embedding-3-large",
)
Qdrant.from_documents(
documents,
embeddings,
path="./vector-store",
collection_name="arize-documentation",
)