class RedisVLSemanticMemory(ContextProvider):
    ...
    def _init_semantic_store(self) -> None:
        if not self._embedding_api_key:
            vectorizer = HFTextVectorizer(
                model=self._embedding_model,
            )
        else:
            vectorizer = OpenAITextVectorizer(
                model=self._embedding_model,
                api_config={
                    "api_key": self._embedding_api_key,
                    "base_url": self._embedding_endpoint
                }
            )
    
        self._semantic_store = SemanticMessageHistory(
            name=self._thread_id,
            session_tag=self._session_tag,
            distance_threshold=self._distance_threshold,
            redis_url=self._redis_url,
            vectorizer=vectorizer,
        )