ef_search = kwargs.get("ef_search", 512)
            ef_construction = kwargs.get("ef_construction", 512)
            m = kwargs.get("m", 16)
            _validate_aoss_with_engines(is_aoss, engine)
            mapping = _default_text_mapping(
                dim, engine, space_type, ef_search, ef_construction, m, vector_field
            )
        else:
            mapping = _default_scripting_text_mapping(dim)
        [kwargs.pop(key, None) for key in keys_list]
        client = _get_opensearch_client(opensearch_url, **kwargs)
        _bulk_ingest_embeddings(
            client,
            index_name,
            embeddings,
            texts,
            ids=ids,
            metadatas=metadatas,
            vector_field=vector_field,
            text_field=text_field,
            mapping=mapping,
            max_chunk_bytes=max_chunk_bytes,
            is_aoss=is_aoss,
        )
        kwargs["engine"] = engine
        return cls(opensearch_url, index_name, embedding, **kwargs)