langchain/tests/integration_tests/embeddings/test_vertexai.py
Justin Flick c09f8e4ddc
Add pagination for Vertex AI embeddings (#5325)
Fixes #5316

---------

Co-authored-by: Justin Flick <jflick@homesite.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2023-05-29 06:57:41 -07:00

45 lines
1.2 KiB
Python

"""Test Vertex AI API wrapper.
In order to run this test, you need to install VertexAI SDK
pip install google-cloud-aiplatform>=1.25.0
Your end-user credentials would be used to make the calls (make sure you've run
`gcloud auth login` first).
"""
from langchain.embeddings import VertexAIEmbeddings
def test_embedding_documents() -> None:
documents = ["foo bar"]
model = VertexAIEmbeddings()
output = model.embed_documents(documents)
assert len(output) == 1
assert len(output[0]) == 768
assert model._llm_type == "vertexai"
assert model.model_name == model.client._model_id
def test_embedding_query() -> None:
document = "foo bar"
model = VertexAIEmbeddings()
output = model.embed_query(document)
assert len(output) == 768
def test_paginated_texts() -> None:
documents = [
"foo bar",
"foo baz",
"bar foo",
"baz foo",
"bar bar",
"foo foo",
"baz baz",
"baz bar",
]
model = VertexAIEmbeddings()
output = model.embed_documents(documents)
assert len(output) == 8
assert len(output[0]) == 768
assert model._llm_type == "vertexai"
assert model.model_name == model.client._model_id