forked from Archives/langchain
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.
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@ -27,14 +27,18 @@ def _default_schema(index_name: str) -> Dict:
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def _create_weaviate_client(**kwargs: Any) -> Any:
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client = kwargs.get("client")
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if client is not None:
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return client
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weaviate_url = get_from_dict_or_env(kwargs, "weaviate_url", "WEAVIATE_URL")
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try:
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# the weaviate api key param should not be mandatory
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weaviate_api_key = get_from_dict_or_env(
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kwargs, "weaviate_api_key", "WEAVIATE_API_KEY", None
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)
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except ValueError:
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weaviate_api_key = None
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try:
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import weaviate
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@ -117,8 +121,20 @@ class Weaviate(VectorStore):
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data_properties[key] = metadatas[i][key]
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_id = get_valid_uuid(uuid4())
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if self._embedding is not None:
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embeddings = self._embedding.embed_documents(list(doc))
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batch.add_data_object(
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data_object=data_properties, class_name=self._index_name, uuid=_id
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data_object=data_properties,
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class_name=self._index_name,
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uuid=_id,
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vector=embeddings[0],
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)
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else:
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batch.add_data_object(
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data_object=data_properties,
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class_name=self._index_name,
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uuid=_id,
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)
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ids.append(_id)
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return ids
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@ -23,329 +23,329 @@ interactions:
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response:
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body:
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r6lv7+/xH//x7/u/aYN/TP2Uv/6vX//b9r/+89/+CwAA//8DAOaLvFiFYQAA
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headers:
|
||||
CF-Cache-Status:
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- DYNAMIC
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CF-RAY:
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- 7bd02f926f51dc93-LHR
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- 7be0d3487b64744b-LHR
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Connection:
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||||
- keep-alive
|
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Content-Encoding:
|
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@ -353,7 +353,7 @@ interactions:
|
||||
Content-Type:
|
||||
- application/json
|
||||
Date:
|
||||
- Mon, 24 Apr 2023 17:49:57 GMT
|
||||
- Wed, 26 Apr 2023 18:17:55 GMT
|
||||
Server:
|
||||
- cloudflare
|
||||
Transfer-Encoding:
|
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@ -365,7 +365,7 @@ interactions:
|
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openai-organization:
|
||||
- user-iy0qn7phyookv8vra62ulvxe
|
||||
openai-processing-ms:
|
||||
- '175'
|
||||
- '142'
|
||||
openai-version:
|
||||
- '2020-10-01'
|
||||
strict-transport-security:
|
||||
@ -377,7 +377,7 @@ interactions:
|
||||
x-ratelimit-reset-requests:
|
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- 1s
|
||||
x-request-id:
|
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- 65b18c2ab828f8b407f94720e7dc95db
|
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- 1fe1cf6f9c2319886e252bf2009ad850
|
||||
status:
|
||||
code: 200
|
||||
message: OK
|
||||
|
@ -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"),
|
||||
]
|
||||
|
Loading…
Reference in New Issue
Block a user