langchain-redis with Sentinel connection

gistfile1.txt

# establish a Sentinel connection
from redis import Sentinel
sentinel = Sentinel([('localhost', 26379)], socket_timeout=0.1)

index_name = f"test_index_{str(ULID())}"

store = RedisVectorStore.from_texts(
        texts,
        OpenAIEmbeddings(),
        index_name=index_name,
        key_prefix="tst1",
        redis_client=sentinel,
)
# ... work with the store