Update dependencies in pyproject.toml

.gitignore

@@ -2,4 +2,6 @@
 .vscode
 __pycache__
 .coverage
-dist
+dist
+.mypy_cache
+.mypy_cache_test

libs/weaviate/Makefile

@@ -32,7 +32,7 @@ TEST_FILE ?= tests/unit_tests/
 
 integration_test integration_tests: TEST_FILE=tests/integration_tests/
 
-test tests: update-weaviate-image
+test tests:
 	poetry run pytest $(TEST_FILE) --cov=langchain_weaviate --cov-report term-missing --cov-fail-under=96.44
 
 integration_test integration_tests: update-weaviate-image

libs/weaviate/langchain_weaviate/vectorstores.py

@@ -99,11 +99,6 @@ def __init__(
     ):
         """Initialize with Weaviate client."""
 
-        if not isinstance(client, weaviate.WeaviateClient):
-            raise ValueError(
-                "client should be an instance of"
-                f" weaviate.WeaviateClient, got {type(client)}"
-            )
         self._client = client
         self._index_name = index_name or f"LangChain_{uuid4().hex}"
         self._embedding = embedding
@@ -428,7 +423,7 @@ def from_texts(
         metadatas: Optional[List[dict]] = None,
         *,
         tenant: Optional[str] = None,
-        client: weaviate.WeaviateClient = None,
+        client: Optional[weaviate.WeaviateClient] = None,
         index_name: Optional[str] = None,
         text_key: str = "text",
         relevance_score_fn: Optional[
@@ -474,6 +469,9 @@ def from_texts(
 
         attributes = list(metadatas[0].keys()) if metadatas else None
 
+        if client is None:
+            raise ValueError("client must be an instance of WeaviateClient")
+
         weaviate_vector_store = cls(
             client,
             index_name,

libs/weaviate/pyproject.toml

@@ -15,7 +15,7 @@ python = ">=3.9,<4.0"
 langchain-core = ">=0.1.33,<0.4"
 weaviate-client = "^4.0.0"
 numpy = "^1.26.2"
-simsimd = ">=3.6.1,<5.0.0"
+simsimd = ">=6.2.1,<7.0.0"
 
 [tool.poetry.group.test]
 optional = true

libs/weaviate/tests/unit_tests/test_vectorstores_integration.py

@@ -611,24 +611,6 @@ def test_search_with_multi_tenancy(
         docsearch.similarity_search("foo", k=1)
 
 
-def test_invalid_client_type() -> None:
-    with pytest.raises(ValueError) as excinfo:
-        invalid_client = "invalid_client"
-        index_name = "test_index"
-        text_key = "text"
-
-        WeaviateVectorStore(
-            client=invalid_client,
-            index_name=index_name,
-            text_key=text_key,
-        )
-
-    assert (
-        str(excinfo.value)
-        == "client should be an instance of weaviate.WeaviateClient, got <class 'str'>"
-    )
-
-
 def test_embedding_property(
     weaviate_client: Any, consistent_embedding: ConsistentFakeEmbeddings
 ) -> None:

libs/weaviate/tests/unit_tests/test_vectorstores_unit.py

@@ -5,6 +5,7 @@
 import pytest
 
 from langchain_weaviate.vectorstores import (
+    WeaviateVectorStore,
     _default_score_normalizer,
     _json_serializable,
 )
@@ -29,3 +30,12 @@ def test_json_serializable(
     expected_result: Union[str, int, None],
 ) -> None:
     assert _json_serializable(value) == expected_result
+
+
+def test_from_texts_raises_value_error_when_client_is_none() -> None:
+    with pytest.raises(
+        ValueError, match="client must be an instance of WeaviateClient"
+    ):
+        WeaviateVectorStore.from_texts(
+            texts=["sample text"], embedding=None, client=None
+        )