Fix/issue 2695 (#3608)

## Background
fixes #2695  

## Changes
The `add_text` method uses the internal embedding function if one was
passes to the `Weaviate` constructor.
NOTE: the latest merge on the `Weaviate` class made the specification of
a `weaviate_api_key` mandatory which might not be desirable for all
users and connection methods (for example weaviate also support Embedded
Weaviate which I am happy to add support to here if people think it's
desirable). I wrapped the fetching of the api key into a try catch in
order to allow the `weaviate_api_key` to be unspecified. Do let me know
if this is unsatisfactory.

## Test Plan
added test for `add_texts` method.
This commit is contained in:
cs0lar 2023-04-27 05:45:03 +01:00 committed by GitHub
parent 615812581e
commit 440c98e24b
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
8 changed files with 2021 additions and 1988 deletions

View File

@ -27,14 +27,18 @@ def _default_schema(index_name: str) -> Dict:
def _create_weaviate_client(**kwargs: Any) -> Any:
client = kwargs.get("client")
if client is not None:
return client
weaviate_url = get_from_dict_or_env(kwargs, "weaviate_url", "WEAVIATE_URL")
weaviate_api_key = get_from_dict_or_env(
kwargs, "weaviate_api_key", "WEAVIATE_API_KEY", None
)
try:
# the weaviate api key param should not be mandatory
weaviate_api_key = get_from_dict_or_env(
kwargs, "weaviate_api_key", "WEAVIATE_API_KEY", None
)
except ValueError:
weaviate_api_key = None
try:
import weaviate
@ -117,9 +121,21 @@ class Weaviate(VectorStore):
data_properties[key] = metadatas[i][key]
_id = get_valid_uuid(uuid4())
batch.add_data_object(
data_object=data_properties, class_name=self._index_name, uuid=_id
)
if self._embedding is not None:
embeddings = self._embedding.embed_documents(list(doc))
batch.add_data_object(
data_object=data_properties,
class_name=self._index_name,
uuid=_id,
vector=embeddings[0],
)
else:
batch.add_data_object(
data_object=data_properties,
class_name=self._index_name,
uuid=_id,
)
ids.append(_id)
return ids

View File

@ -23,329 +23,329 @@ interactions:
response:
body:
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View File

@ -9,6 +9,7 @@ from weaviate import Client
from langchain.docstore.document import Document
from langchain.embeddings.openai import OpenAIEmbeddings
from langchain.vectorstores.weaviate import Weaviate
from tests.integration_tests.vectorstores.fake_embeddings import FakeEmbeddings
logging.basicConfig(level=logging.DEBUG)
@ -163,3 +164,20 @@ class TestWeaviate:
assert output == [
Document(page_content="foo", metadata={"page": 0}),
]
def test_add_texts_with_given_embedding(self, weaviate_url: str) -> None:
texts = ["foo", "bar", "baz"]
embedding = FakeEmbeddings()
docsearch = Weaviate.from_texts(
texts, embedding=embedding, weaviate_url=weaviate_url
)
docsearch.add_texts(["foo"])
output = docsearch.similarity_search_by_vector(
embedding.embed_query("foo"), k=2
)
assert output == [
Document(page_content="foo"),
Document(page_content="foo"),
]