test_qdrant_add_documents_extends_existing_collection() — langchain Function Reference

Source Code

libs/partners/qdrant/tests/integration_tests/test_add_texts.py lines 17–38

def test_qdrant_add_documents_extends_existing_collection(
    batch_size: int, vector_name: str | None
) -> None:
    """Test end to end construction and search."""
    texts = ["foo", "bar", "baz"]
    docsearch: Qdrant = Qdrant.from_texts(
        texts,
        ConsistentFakeEmbeddings(),
        location=":memory:",
        batch_size=batch_size,
        vector_name=vector_name,
    )

    new_texts = ["foobar", "foobaz"]
    docsearch.add_documents(
        [Document(page_content=content) for content in new_texts], batch_size=batch_size
    )
    output = docsearch.similarity_search("foobar", k=1)
    # ConsistentFakeEmbeddings return the same query embedding as the first document
    # embedding computed in `embedding.embed_documents`. Thus, "foo" embedding is the
    # same as "foobar" embedding
    assert_documents_equals(output, [Document(page_content="foobar")])