def node_embeddings() -> list[TextNode]:
    """Return a list of TextNodes with embeddings."""
    return [
        TextNode(
            text="foo",
            id_="12c70eed-5779-4008-aba0-596e003f6443",
            metadata={
                "genre": "Mystery",
                "pages": 10,
            },
            embedding=text_to_embedding("foo"),
        ),
        TextNode(
            text="bar",
            id_="f7d81cb3-bb42-47e6-96f5-17db6860cd11",
            metadata={
                "genre": "Comedy",
                "pages": 5,
            },
            embedding=text_to_embedding("bar"),
        ),
        TextNode(
            text="baz",
            id_="469e9537-7bc5-4669-9ff6-baa0ed086236",
            metadata={
                "genre": "Thriller",
                "pages": 20,
            },
            embedding=text_to_embedding("baz"),
        ),
    ]
Return a list of TextNodes with embeddings.
llama-index-integrations/vector_stores/llama-index-vector-stores-couchbase/tests/test_vector_stores_couchbase.py