diff --git a/.github/workflows/_release.yml b/.github/workflows/_release.yml
index bd63d69..e3ed0fb 100644
--- a/.github/workflows/_release.yml
+++ b/.github/workflows/_release.yml
@@ -1,78 +1,79 @@
-name: release-please
+name: release
+run-name: Release ${{ inputs.working-directory }} by @${{ github.actor }}
 on:
-  push:
-    branches:
-      - main
+  workflow_call:
+    inputs:
+      working-directory:
+        required: true
+        type: string
+        description: "From which folder this pipeline executes"
+  workflow_dispatch:
+    inputs:
+      working-directory:
+        required: true
+        type: string
+        default: '.'
 
 env:
-  PYTHON_VERSION: "3.10"
+  PYTHON_VERSION: "3.11"
   POETRY_VERSION: "1.7.1"
 
 jobs:
-  release-please:
-    runs-on: ubuntu-latest
-    permissions:
-      contents: write
-      pull-requests: write
-    outputs:
-      releases_created: ${{ steps.release.outputs.release_created }}
-      paths_released: ${{ steps.release.outputs.paths_released }}
-      prs_created: ${{ steps.release.outputs.prs_created }}
-      prs: ${{ steps.release.outputs.prs }}
-    steps:
-      - uses: google-github-actions/release-please-action@v4
-        id: release
-        with:
-          manifest-file: ".release-please-manifest.json"
-          config-file: "release-please-config.json"
   build:
-    needs: release-please
-    if: ${{ needs.release-please.outputs.releases_created }}
+    if: github.ref == 'refs/heads/main'
     runs-on: ubuntu-latest
+
+    outputs:
+      pkg-name: ${{ steps.check-version.outputs.pkg-name }}
+      version: ${{ steps.check-version.outputs.version }}
+
     steps:
       - uses: actions/checkout@v4
+
       - name: Set up Python + Poetry ${{ env.POETRY_VERSION }}
         uses: "./.github/actions/poetry_setup"
         with:
           python-version: ${{ env.PYTHON_VERSION }}
           poetry-version: ${{ env.POETRY_VERSION }}
-          working-directory: .
+          working-directory: ${{ inputs.working-directory }}
           cache-key: release
+
+      # We want to keep this build stage *separate* from the release stage,
+      # so that there's no sharing of permissions between them.
+      # The release stage has trusted publishing and GitHub repo contents write access,
+      # and we want to keep the scope of that access limited just to the release job.
+      # Otherwise, a malicious `build` step (e.g. via a compromised dependency)
+      # could get access to our GitHub or PyPI credentials.
+      #
+      # Per the trusted publishing GitHub Action:
+      # > It is strongly advised to separate jobs for building [...]
+      # > from the publish job.
+      # https://github.com/pypa/gh-action-pypi-publish#non-goals
       - name: Build project for distribution
         run: poetry build
-        working-directory: .
+        working-directory: ${{ inputs.working-directory }}
 
       - name: Upload build
         uses: actions/upload-artifact@v3
         with:
           name: dist
-          path: ./dist/
+          path: ${{ inputs.working-directory }}/dist/
 
       - name: Check Version
         id: check-version
         shell: bash
-        working-directory: .
+        working-directory: ${{ inputs.working-directory }}
         run: |
           echo pkg-name="$(poetry version | cut -d ' ' -f 1)" >> $GITHUB_OUTPUT
           echo version="$(poetry version --short)" >> $GITHUB_OUTPUT
 
-      # We want to keep this build stage *separate* from the release stage,
-      # so that there's no sharing of permissions between them.
-      # The release stage has trusted publishing and GitHub repo contents write access,
-      # and we want to keep the scope of that access limited just to the release job.
-      # Otherwise, a malicious `build` step (e.g. via a compromised dependency)
-      # could get access to our GitHub or PyPI credentials.
-      #
-      # Per the trusted publishing GitHub Action:
-      # > It is strongly advised to separate jobs for building [...]
-      # > from the publish job.
-      # https://github.com/pypa/gh-action-pypi-publish#non-goals
-
   test-pypi-publish:
     needs:
       - build
     uses:
       ./.github/workflows/_test_release.yml
+    with:
+      working-directory: ${{ inputs.working-directory }}
     secrets: inherit
 
   pre-release-checks:
@@ -101,11 +102,11 @@ jobs:
         with:
           python-version: ${{ env.PYTHON_VERSION }}
           poetry-version: ${{ env.POETRY_VERSION }}
-          working-directory: .
+          working-directory: ${{ inputs.working-directory }}
 
       - name: Import published package
         shell: bash
-        working-directory: .
+        working-directory: ${{ inputs.working-directory }}
         env:
           PKG_NAME: ${{ needs.build.outputs.pkg-name }}
           VERSION: ${{ needs.build.outputs.version }}
@@ -137,11 +138,11 @@ jobs:
 
       - name: Import test dependencies
         run: poetry install --with test,test_integration
-        working-directory: .
+        working-directory: ${{ inputs.working-directory }}
 
       # Overwrite the local version of the package with the test PyPI version.
       - name: Import published package (again)
-        working-directory: .
+        working-directory: ${{ inputs.working-directory }}
         shell: bash
         env:
           PKG_NAME: ${{ needs.build.outputs.pkg-name }}
@@ -153,26 +154,33 @@ jobs:
 
       - name: Run unit tests
         run: make tests
-        working-directory: .
-
-      - name: 'Authenticate to Google Cloud'
-        id: 'auth'
-        uses: google-github-actions/auth@v2
-        with:
-          credentials_json: '${{ secrets.GOOGLE_CREDENTIALS }}'
+        working-directory: ${{ inputs.working-directory }}
 
       - name: Run integration tests
         env:
-          OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
+          ES_API_KEY: ${{ secrets.ES_API_KEY }}
+          ES_CLOUD_ID: ${{ secrets.ES_CLOUD_ID }}
+          ES_URL: ${{ secrets.ES_URL }}
         run: make integration_tests
-        working-directory: .
+        working-directory: ${{ inputs.working-directory }}
+
+      - name: Get minimum versions
+        working-directory: ${{ inputs.working-directory }}
+        id: min-version
+        run: |
+          poetry run pip install packaging
+          min_versions="$(poetry run python $GITHUB_WORKSPACE/.github/scripts/get_min_versions.py pyproject.toml)"
+          echo "min-versions=$min_versions" >> "$GITHUB_OUTPUT"
+          echo "min-versions=$min_versions"
 
-      # - name: Run unit tests with minimum dependency versions
-      #   if: ${{ (inputs.working-directory == 'libs/langchain') || (inputs.working-directory == 'libs/community') || (inputs.working-directory == 'libs/experimental') }}
-      #   run: |
-      #     poetry run pip install -r _test_minimum_requirements.txt
-      #     make tests
-      #   working-directory: .
+      - name: Run unit tests with minimum dependency versions
+        if: ${{ steps.min-version.outputs.min-versions != '' }}
+        env:
+          MIN_VERSIONS: ${{ steps.min-version.outputs.min-versions }}
+        run: |
+          poetry run pip install $MIN_VERSIONS
+          make tests
+        working-directory: ${{ inputs.working-directory }}
 
   publish:
     needs:
@@ -190,7 +198,7 @@ jobs:
 
     defaults:
       run:
-        working-directory: .
+        working-directory: ${{ inputs.working-directory }}
 
     steps:
       - uses: actions/checkout@v4
@@ -200,18 +208,18 @@ jobs:
         with:
           python-version: ${{ env.PYTHON_VERSION }}
           poetry-version: ${{ env.POETRY_VERSION }}
-          working-directory: .
+          working-directory: ${{ inputs.working-directory }}
           cache-key: release
 
       - uses: actions/download-artifact@v3
         with:
           name: dist
-          path: ./dist/
+          path: ${{ inputs.working-directory }}/dist/
 
       - name: Publish package distributions to PyPI
         uses: pypa/gh-action-pypi-publish@release/v1
         with:
-          packages-dir: ./dist/
+          packages-dir: ${{ inputs.working-directory }}/dist/
           verbose: true
           print-hash: true
 
@@ -229,7 +237,7 @@ jobs:
 
     defaults:
       run:
-        working-directory: .
+        working-directory: ${{ inputs.working-directory }}
 
     steps:
       - uses: actions/checkout@v4
@@ -239,21 +247,20 @@ jobs:
         with:
           python-version: ${{ env.PYTHON_VERSION }}
           poetry-version: ${{ env.POETRY_VERSION }}
-          working-directory: .
+          working-directory: ${{ inputs.working-directory }}
           cache-key: release
 
       - uses: actions/download-artifact@v3
         with:
           name: dist
-          path: ./dist/
-
-      # - name: Create Release
-      #   uses: ncipollo/release-action@v1
-      #   if: ${{ inputs.working-directory == 'libs/langchain' }}
-      #   with:
-      #     artifacts: "dist/*"
-      #     token: ${{ secrets.GITHUB_TOKEN }}
-      #     draft: false
-      #     generateReleaseNotes: true
-      #     tag: v${{ needs.build.outputs.version }}
-      #     commit: master
+          path: ${{ inputs.working-directory }}/dist/
+
+      - name: Create Release
+        uses: ncipollo/release-action@v1
+        with:
+          artifacts: "dist/*"
+          token: ${{ secrets.GITHUB_TOKEN }}
+          draft: false
+          generateReleaseNotes: true
+          tag: ${{ inputs.working-directory }}/v${{ needs.build.outputs.version }}
+          commit: main
diff --git a/.github/workflows/_test_release.yml b/.github/workflows/_test_release.yml
index e54d1d0..f49e505 100644
--- a/.github/workflows/_test_release.yml
+++ b/.github/workflows/_test_release.yml
@@ -2,6 +2,11 @@ name: test-release
 
 on:
   workflow_call:
+    inputs:
+      working-directory:
+        required: true
+        type: string
+        description: "From which folder this pipeline executes"
 
 env:
   POETRY_VERSION: "1.7.1"
@@ -24,7 +29,7 @@ jobs:
         with:
           python-version: ${{ env.PYTHON_VERSION }}
           poetry-version: ${{ env.POETRY_VERSION }}
-          working-directory: .
+          working-directory: ${{ inputs.working-directory }}
           cache-key: release
 
       # We want to keep this build stage *separate* from the release stage,
@@ -40,18 +45,18 @@ jobs:
       # https://github.com/pypa/gh-action-pypi-publish#non-goals
       - name: Build project for distribution
         run: poetry build
-        working-directory: .
+        working-directory: ${{ inputs.working-directory }}
 
       - name: Upload build
         uses: actions/upload-artifact@v3
         with:
           name: test-dist
-          path: ./dist/
+          path: ${{ inputs.working-directory }}/dist/
 
       - name: Check Version
         id: check-version
         shell: bash
-        working-directory: .
+        working-directory: ${{ inputs.working-directory }}
         run: |
           echo pkg-name="$(poetry version | cut -d ' ' -f 1)" >> $GITHUB_OUTPUT
           echo version="$(poetry version --short)" >> $GITHUB_OUTPUT
@@ -74,12 +79,12 @@ jobs:
       - uses: actions/download-artifact@v3
         with:
           name: test-dist
-          path: ./dist/
+          path: ${{ inputs.working-directory }}/dist/
 
       - name: Publish to test PyPI
         uses: pypa/gh-action-pypi-publish@release/v1
         with:
-          packages-dir: ./dist/
+          packages-dir: ${{ inputs.working-directory }}/dist/
           verbose: true
           print-hash: true
           repository-url: https://test.pypi.org/legacy/
diff --git a/Makefile b/Makefile
index ee23d5c..ebc2554 100644
--- a/Makefile
+++ b/Makefile
@@ -6,7 +6,7 @@ all: help
 # Define a variable for the test file path.
 TEST_FILE ?= tests/unit_tests/
 
-integration_tests: TEST_FILE=tests/integration_tests/
+integration_test integration_tests: TEST_FILE=tests/integration_tests/
 
 # test:
 # 	poetry run pytest $(TEST_FILE)
@@ -31,12 +31,8 @@ update-weaviate-image:
 		echo "No update required. Current Weaviate version is already $(LATEST_VERSION)"; \
 	fi
 
-test: update-weaviate-image
-	poetry run pytest -n `nproc` --cov=langchain_weaviate --cov-report term-missing
-
-tests integration_tests:
-	poetry run pytest $(TEST_FILE)
-
+test tests integration_test integration_tests: update-weaviate-image
+	poetry run pytest $(TEST_FILE) --cov=langchain_weaviate --cov-report term-missing
 
 ######################
 # LINTING AND FORMATTING
@@ -46,20 +42,20 @@ tests integration_tests:
 PYTHON_FILES=.
 MYPY_CACHE=.mypy_cache
 lint format: PYTHON_FILES=.
-lint_diff format_diff: PYTHON_FILES=$(shell git diff --relative=libs/partners/weaviate --name-only --diff-filter=d master | grep -E '\.py$$|\.ipynb$$')
+lint_diff format_diff: PYTHON_FILES=$(shell git diff --name-only --diff-filter=d master | grep -E '\.py$$|\.ipynb$$')
 lint_package: PYTHON_FILES=langchain_weaviate
 lint_tests: PYTHON_FILES=tests
 lint_tests: MYPY_CACHE=.mypy_cache_test
 
 lint lint_diff lint_package lint_tests:
-	poetry run ruff .
+	poetry run ruff check .
 	poetry run ruff format $(PYTHON_FILES) --diff
-	poetry run ruff --select I $(PYTHON_FILES)
+	poetry run ruff check --select I $(PYTHON_FILES)
 	mkdir $(MYPY_CACHE); poetry run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
 
 format format_diff:
 	poetry run ruff format $(PYTHON_FILES)
-	poetry run ruff --fix $(PYTHON_FILES)
+	poetry run ruff check --fix $(PYTHON_FILES)
 
 spell_check:
 	poetry run codespell --toml pyproject.toml
diff --git a/langchain_weaviate/_math.py b/langchain_weaviate/_math.py
index 48f7e0e..02ba5f3 100644
--- a/langchain_weaviate/_math.py
+++ b/langchain_weaviate/_math.py
@@ -4,7 +4,7 @@
 from typing import List, Optional, Tuple, Union
 
 import numpy as np
-import simsimd
+import simsimd  # type: ignore
 
 logger = logging.getLogger(__name__)
 
diff --git a/langchain_weaviate/utils.py b/langchain_weaviate/utils.py
index 0343e75..a686a08 100644
--- a/langchain_weaviate/utils.py
+++ b/langchain_weaviate/utils.py
@@ -5,7 +5,7 @@
 
 import numpy as np
 
-from ._math import cosine_similarity
+from langchain_weaviate._math import cosine_similarity
 
 
 class DistanceStrategy(str, Enum):
diff --git a/langchain_weaviate/vectorstores.py b/langchain_weaviate/vectorstores.py
index 5706ece..43d1f8f 100644
--- a/langchain_weaviate/vectorstores.py
+++ b/langchain_weaviate/vectorstores.py
@@ -11,19 +11,21 @@
     Dict,
     Iterable,
     List,
+    Literal,
     Optional,
     Tuple,
     Union,
+    overload,
 )
 from uuid import uuid4
 
 import numpy as np
-import weaviate
+import weaviate  # type: ignore
 from langchain_core.documents import Document
 from langchain_core.embeddings import Embeddings
 from langchain_core.vectorstores import VectorStore
 
-from .utils import maximal_marginal_relevance
+from langchain_weaviate.utils import maximal_marginal_relevance
 
 if TYPE_CHECKING:
     import weaviate
@@ -86,7 +88,7 @@ class WeaviateVectorStore(VectorStore):
     def __init__(
         self,
         client: weaviate.WeaviateClient,
-        index_name: str,
+        index_name: Optional[str],
         text_key: str,
         embedding: Optional[Embeddings] = None,
         attributes: Optional[List[str]] = None,
@@ -147,7 +149,7 @@ def add_texts(
         **kwargs: Any,
     ) -> List[str]:
         """Upload texts with metadata (properties) to Weaviate."""
-        from weaviate.util import get_valid_uuid
+        from weaviate.util import get_valid_uuid  # type: ignore
 
         if tenant and not self._does_tenant_exist(tenant):
             logger.info(
@@ -160,7 +162,7 @@ def add_texts(
         ids = []
         embeddings: Optional[List[List[float]]] = None
         if self._embedding:
-            embeddings = self._embedding.embed_documents(texts)
+            embeddings = self._embedding.embed_documents(list(texts))
 
         with self._client.batch.dynamic() as batch:
             for i, text in enumerate(texts):
@@ -199,14 +201,32 @@ def add_texts(
 
         return ids
 
+    @overload
     def _perform_search(
         self,
-        query: str,
+        query: Optional[str],
+        k: int,
+        return_score: Literal[False] = False,
+        tenant: Optional[str] = None,
+        **kwargs: Any,
+    ) -> List[Document]: ...
+    @overload
+    def _perform_search(
+        self,
+        query: Optional[str],
+        k: int,
+        return_score: Literal[True],
+        tenant: Optional[str] = None,
+        **kwargs: Any,
+    ) -> List[Tuple[Document, float]]: ...
+    def _perform_search(
+        self,
+        query: Optional[str],
         k: int,
-        return_score=False,
+        return_score: bool = False,
         tenant: Optional[str] = None,
         **kwargs: Any,
-    ) -> List[Union[Document, Tuple[Document, float]]]:
+    ) -> Union[List[Document], List[Tuple[Document, float]]]:
         """
         Perform a similarity search.
 
@@ -242,14 +262,15 @@ def _perform_search(
             kwargs["return_properties"].append(self._text_key)
 
         vector = kwargs.pop("vector", None)
-        if vector is None and query is None:
-            # raise an error because weaviate will do a fetch object query
-            # if both query and vector are None
-            raise ValueError("Either query or vector must be provided.")
 
         # workaround to handle test_max_marginal_relevance_search
         if vector is None:
-            vector = self._embedding.embed_query(query)
+            if query is None:
+                # raise an error because weaviate will do a fetch object query
+                # if both query and vector are None
+                raise ValueError("Either query or vector must be provided.")
+            else:
+                vector = self._embedding.embed_query(query)
 
         return_uuids = kwargs.pop("return_uuids", False)
 
@@ -261,7 +282,7 @@ def _perform_search(
             except weaviate.exceptions.WeaviateQueryException as e:
                 raise ValueError(f"Error during query: {e}")
 
-        docs = []
+        docs_and_scores: List[Tuple[Document, float]] = []
         for obj in result.objects:
             text = obj.properties.pop(self._text_key)
             filtered_metadata = {
@@ -276,13 +297,13 @@ def _perform_search(
                 **({"uuid": str(obj.uuid)} if return_uuids else {}),
             }
             doc = Document(page_content=text, metadata=merged_props)
-            if not return_score:
-                docs.append(doc)
-            else:
-                score = obj.metadata.score
-                docs.append((doc, score))
+            score = obj.metadata.score
+            docs_and_scores.append((doc, score))
 
-        return docs
+        if return_score:
+            return docs_and_scores
+        else:
+            return [doc for doc, _ in docs_and_scores]
 
     def similarity_search(
         self, query: str, k: int = 4, **kwargs: Any
@@ -403,11 +424,11 @@ def similarity_search_with_score(
     def from_texts(
         cls,
         texts: List[str],
-        embedding: Embeddings,
-        client: weaviate.WeaviateClient = None,
+        embedding: Optional[Embeddings],
         metadatas: Optional[List[dict]] = None,
-        tenant: Optional[str] = None,
         *,
+        tenant: Optional[str] = None,
+        client: weaviate.WeaviateClient = None,
         index_name: Optional[str] = None,
         text_key: str = "text",
         relevance_score_fn: Optional[
diff --git a/poetry.lock b/poetry.lock
index c06e575..cac4ecf 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
 
 [[package]]
 name = "aiohttp"
@@ -999,13 +999,13 @@ files = [
 
 [[package]]
 name = "httpcore"
-version = "1.0.4"
+version = "1.0.5"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "httpcore-1.0.4-py3-none-any.whl", hash = "sha256:ac418c1db41bade2ad53ae2f3834a3a0f5ae76b56cf5aa497d2d033384fc7d73"},
-    {file = "httpcore-1.0.4.tar.gz", hash = "sha256:cb2839ccfcba0d2d3c1131d3c3e26dfc327326fbe7a5dc0dbfe9f6c9151bb022"},
+    {file = "httpcore-1.0.5-py3-none-any.whl", hash = "sha256:421f18bac248b25d310f3cacd198d55b8e6125c107797b609ff9b7a6ba7991b5"},
+    {file = "httpcore-1.0.5.tar.gz", hash = "sha256:34a38e2f9291467ee3b44e89dd52615370e152954ba21721378a87b2960f7a61"},
 ]
 
 [package.dependencies]
@@ -1016,7 +1016,7 @@ h11 = ">=0.13,<0.15"
 asyncio = ["anyio (>=4.0,<5.0)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
-trio = ["trio (>=0.22.0,<0.25.0)"]
+trio = ["trio (>=0.22.0,<0.26.0)"]
 
 [[package]]
 name = "httpx"
@@ -1242,13 +1242,13 @@ test = ["ipykernel", "pre-commit", "pytest (<8)", "pytest-cov", "pytest-timeout"
 
 [[package]]
 name = "langchain"
-version = "0.1.13"
+version = "0.1.14"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain-0.1.13-py3-none-any.whl", hash = "sha256:c87657021b777d6b07e55be379a28660a1cd148c31593569869dd6b0b4cab945"},
-    {file = "langchain-0.1.13.tar.gz", hash = "sha256:db330aa79c33501cb1ed97ff465f7645813eaa6cfd742c61e19c2d48e4aaba18"},
+    {file = "langchain-0.1.14-py3-none-any.whl", hash = "sha256:94f9b5df2421faaf762d4f43b9d65c270c2f701934580d281e4c6226deef7234"},
+    {file = "langchain-0.1.14.tar.gz", hash = "sha256:124c6244cf3957616b98f2df07dc2992fc40dff6ed1a62d8ee8a40f1e0260a40"},
 ]
 
 [package.dependencies]
@@ -1256,8 +1256,8 @@ aiohttp = ">=3.8.3,<4.0.0"
 async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
 dataclasses-json = ">=0.5.7,<0.7"
 jsonpatch = ">=1.33,<2.0"
-langchain-community = ">=0.0.29,<0.1"
-langchain-core = ">=0.1.33,<0.2.0"
+langchain-community = ">=0.0.30,<0.1"
+langchain-core = ">=0.1.37,<0.2.0"
 langchain-text-splitters = ">=0.0.1,<0.1"
 langsmith = ">=0.1.17,<0.2.0"
 numpy = ">=1,<2"
@@ -1271,31 +1271,31 @@ tenacity = ">=8.1.0,<9.0.0"
 azure = ["azure-ai-formrecognizer (>=3.2.1,<4.0.0)", "azure-ai-textanalytics (>=5.3.0,<6.0.0)", "azure-cognitiveservices-speech (>=1.28.0,<2.0.0)", "azure-core (>=1.26.4,<2.0.0)", "azure-cosmos (>=4.4.0b1,<5.0.0)", "azure-identity (>=1.12.0,<2.0.0)", "azure-search-documents (==11.4.0b8)", "openai (<2)"]
 clarifai = ["clarifai (>=9.1.0)"]
 cli = ["typer (>=0.9.0,<0.10.0)"]
-cohere = ["cohere (>=4,<5)"]
+cohere = ["cohere (>=4,<6)"]
 docarray = ["docarray[hnswlib] (>=0.32.0,<0.33.0)"]
 embeddings = ["sentence-transformers (>=2,<3)"]
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+llms = ["clarifai (>=9.1.0)", "cohere (>=4,<6)", "huggingface_hub (>=0,<1)", "manifest-ml (>=0.0.1,<0.0.2)", "nlpcloud (>=1,<2)", "openai (<2)", "openlm (>=0.0.5,<0.0.6)", "torch (>=1,<3)", "transformers (>=4,<5)"]
 openai = ["openai (<2)", "tiktoken (>=0.3.2,<0.6.0)"]
 qdrant = ["qdrant-client (>=1.3.1,<2.0.0)"]
 text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
 
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 name = "langchain-community"
-version = "0.0.29"
+version = "0.0.31"
 description = "Community contributed LangChain integrations."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
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-    {file = "langchain_community-0.0.29.tar.gz", hash = "sha256:d88107fafa9fe2c5733da9630c68d9ee51cd33b1c88a4950e7a2d9a38f7e7aa3"},
+    {file = "langchain_community-0.0.31-py3-none-any.whl", hash = "sha256:905c01b978a1cef7fdcddd2d9241dedc9987db6f23ba1b58d974e38b1cdf2775"},
+    {file = "langchain_community-0.0.31.tar.gz", hash = "sha256:9a970bc2bb59bb4c204b696d8c62c2534f6ddb31005005cc1b7d7f934e58a5fc"},
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 aiohttp = ">=3.8.3,<4.0.0"
 dataclasses-json = ">=0.5.7,<0.7"
-langchain-core = ">=0.1.33,<0.2.0"
+langchain-core = ">=0.1.37,<0.2.0"
 langsmith = ">=0.1.0,<0.2.0"
 numpy = ">=1,<2"
 PyYAML = ">=5.3"
@@ -1305,17 +1305,17 @@ tenacity = ">=8.1.0,<9.0.0"
 
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 cli = ["typer (>=0.9.0,<0.10.0)"]
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 [[package]]
 name = "langchain-core"
-version = "0.1.37"
+version = "0.1.40"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_core-0.1.37-py3-none-any.whl", hash = "sha256:63c6aecb0f2eb1a21f8e944da622748cfeafa2cc3d94c0182ffa8038bd00fe0b"},
-    {file = "langchain_core-0.1.37.tar.gz", hash = "sha256:3db7008796e25aea90f98c2159dbf29bf1fd296bdcb78dc2d8183a92fdde4433"},
+    {file = "langchain_core-0.1.40-py3-none-any.whl", hash = "sha256:618dbb7ab44d8b263b91e384db1ff07d0db256ae5bdafa0123a115b6a75a13f1"},
+    {file = "langchain_core-0.1.40.tar.gz", hash = "sha256:34c06fc0e6d3534b738c63f85403446b4be71161665b7e091f9bb19c914ec100"},
 ]
 
 [package.dependencies]
@@ -1324,7 +1324,6 @@ langsmith = ">=0.1.0,<0.2.0"
 packaging = ">=23.2,<24.0"
 pydantic = ">=1,<3"
 PyYAML = ">=5.3"
-requests = ">=2,<3"
 tenacity = ">=8.1.0,<9.0.0"
 
 [package.extras]
@@ -1365,13 +1364,13 @@ extended-testing = ["lxml (>=5.1.0,<6.0.0)"]
 
 [[package]]
 name = "langsmith"
-version = "0.1.31"
+version = "0.1.40"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langsmith-0.1.31-py3-none-any.whl", hash = "sha256:5211a9dc00831db307eb843485a97096484b697b5d2cd1efaac34228e97ca087"},
-    {file = "langsmith-0.1.31.tar.gz", hash = "sha256:efd54ccd44be7fda911bfdc0ead340473df2fdd07345c7252901834d0c4aa37e"},
+    {file = "langsmith-0.1.40-py3-none-any.whl", hash = "sha256:aa47d0f5a1eabd5c05ac6ce2cd3e28ccfc554d366e856a27b7c3c17c443881cb"},
+    {file = "langsmith-0.1.40.tar.gz", hash = "sha256:50fdf313741cf94e978de06025fd180b56acf1d1a4549b0fd5453ef23d5461ef"},
 ]
 
 [package.dependencies]
@@ -1627,13 +1626,13 @@ files = [
 
 [[package]]
 name = "openai"
-version = "1.14.3"
+version = "1.16.2"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.7.1"
 files = [
-    {file = "openai-1.14.3-py3-none-any.whl", hash = "sha256:7a465994a7ccf677a110c6cc2ef9d86229bad42c060b585b67049aa749f3b774"},
-    {file = "openai-1.14.3.tar.gz", hash = "sha256:37b514e9c0ff45383ec9b242abd0f7859b1080d4b54b61393ed341ecad1b8eb9"},
+    {file = "openai-1.16.2-py3-none-any.whl", hash = "sha256:46a435380921e42dae218d04d6dd0e89a30d7f3b9d8a778d5887f78003cf9354"},
+    {file = "openai-1.16.2.tar.gz", hash = "sha256:c93d5efe5b73b6cb72c4cd31823852d2e7c84a138c0af3cbe4a8eb32b1164ab2"},
 ]
 
 [package.dependencies]
@@ -1650,61 +1649,62 @@ datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 
 [[package]]
 name = "orjson"
-version = "3.9.15"
+version = "3.10.0"
 description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "orjson-3.9.15-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:d61f7ce4727a9fa7680cd6f3986b0e2c732639f46a5e0156e550e35258aa313a"},
-    {file = "orjson-3.9.15-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4feeb41882e8aa17634b589533baafdceb387e01e117b1ec65534ec724023d04"},
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+    {file = "orjson-3.10.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:e62ba42bfe64c60c1bc84799944f80704e996592c6b9e14789c8e2a303279912"},
+    {file = "orjson-3.10.0-cp39-none-win32.whl", hash = "sha256:60c0b1bdbccd959ebd1575bd0147bd5e10fc76f26216188be4a36b691c937077"},
+    {file = "orjson-3.10.0-cp39-none-win_amd64.whl", hash = "sha256:175a41500ebb2fdf320bf78e8b9a75a1279525b62ba400b2b2444e274c2c8bee"},
+    {file = "orjson-3.10.0.tar.gz", hash = "sha256:ba4d8cac5f2e2cff36bea6b6481cdb92b38c202bcec603d6f5ff91960595a1ed"},
 ]
 
 [[package]]
@@ -1866,13 +1866,13 @@ tests = ["pytest"]
 
 [[package]]
 name = "pycparser"
-version = "2.21"
+version = "2.22"
 description = "C parser in Python"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+python-versions = ">=3.8"
 files = [
-    {file = "pycparser-2.21-py2.py3-none-any.whl", hash = "sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9"},
-    {file = "pycparser-2.21.tar.gz", hash = "sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206"},
+    {file = "pycparser-2.22-py3-none-any.whl", hash = "sha256:c3702b6d3dd8c7abc1afa565d7e63d53a1d0bd86cdc24edd75470f4de499cfcc"},
+    {file = "pycparser-2.22.tar.gz", hash = "sha256:491c8be9c040f5390f5bf44a5b07752bd07f56edf992381b05c701439eec10f6"},
 ]
 
 [[package]]
@@ -2096,13 +2096,13 @@ dev = ["pre-commit", "pytest-asyncio", "tox"]
 
 [[package]]
 name = "pytest-watcher"
-version = "0.4.1"
+version = "0.4.2"
 description = "Automatically rerun your tests on file modifications"
 optional = false
-python-versions = ">=3.7.0,<4.0.0"
+python-versions = "<4.0.0,>=3.7.0"
 files = [
-    {file = "pytest_watcher-0.4.1-py3-none-any.whl", hash = "sha256:29435669cb0124fb32d6de649fe9b1350f6dac94176313fff559ee4c2a66fd6e"},
-    {file = "pytest_watcher-0.4.1.tar.gz", hash = "sha256:5a793c4c883e3a55ab2abbfa3a8cd6fa6495b3767d5f6644052cc5f3236f511a"},
+    {file = "pytest_watcher-0.4.2-py3-none-any.whl", hash = "sha256:a43949ba67dd8d7e1fd0de5eea44a999081f0aec9f93b4e744264b4c6a3d9bbe"},
+    {file = "pytest_watcher-0.4.2.tar.gz", hash = "sha256:7b292f025ca19617cd7567c228c6187b5087f2da9e4d2cf6e144e5764a0471b0"},
 ]
 
 [package.dependencies]
@@ -2456,28 +2456,28 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
 [[package]]
 name = "ruff"
-version = "0.3.4"
+version = "0.3.5"
 description = "An extremely fast Python linter and code formatter, written in Rust."
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "ruff-0.3.4-py3-none-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = "sha256:60c870a7d46efcbc8385d27ec07fe534ac32f3b251e4fc44b3cbfd9e09609ef4"},
-    {file = "ruff-0.3.4-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:6fc14fa742e1d8f24910e1fff0bd5e26d395b0e0e04cc1b15c7c5e5fe5b4af91"},
-    {file = "ruff-0.3.4-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d3ee7880f653cc03749a3bfea720cf2a192e4f884925b0cf7eecce82f0ce5854"},
-    {file = "ruff-0.3.4-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:cf133dd744f2470b347f602452a88e70dadfbe0fcfb5fd46e093d55da65f82f7"},
-    {file = "ruff-0.3.4-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3f3860057590e810c7ffea75669bdc6927bfd91e29b4baa9258fd48b540a4365"},
-    {file = "ruff-0.3.4-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:986f2377f7cf12efac1f515fc1a5b753c000ed1e0a6de96747cdf2da20a1b369"},
-    {file = "ruff-0.3.4-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c4fd98e85869603e65f554fdc5cddf0712e352fe6e61d29d5a6fe087ec82b76c"},
-    {file = "ruff-0.3.4-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:64abeed785dad51801b423fa51840b1764b35d6c461ea8caef9cf9e5e5ab34d9"},
-    {file = "ruff-0.3.4-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:df52972138318bc7546d92348a1ee58449bc3f9eaf0db278906eb511889c4b50"},
-    {file = "ruff-0.3.4-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:98e98300056445ba2cc27d0b325fd044dc17fcc38e4e4d2c7711585bd0a958ed"},
-    {file = "ruff-0.3.4-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:519cf6a0ebed244dce1dc8aecd3dc99add7a2ee15bb68cf19588bb5bf58e0488"},
-    {file = "ruff-0.3.4-py3-none-musllinux_1_2_i686.whl", hash = "sha256:bb0acfb921030d00070539c038cd24bb1df73a2981e9f55942514af8b17be94e"},
-    {file = "ruff-0.3.4-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:cf187a7e7098233d0d0c71175375c5162f880126c4c716fa28a8ac418dcf3378"},
-    {file = "ruff-0.3.4-py3-none-win32.whl", hash = "sha256:af27ac187c0a331e8ef91d84bf1c3c6a5dea97e912a7560ac0cef25c526a4102"},
-    {file = "ruff-0.3.4-py3-none-win_amd64.whl", hash = "sha256:de0d5069b165e5a32b3c6ffbb81c350b1e3d3483347196ffdf86dc0ef9e37dd6"},
-    {file = "ruff-0.3.4-py3-none-win_arm64.whl", hash = "sha256:6810563cc08ad0096b57c717bd78aeac888a1bfd38654d9113cb3dc4d3f74232"},
-    {file = "ruff-0.3.4.tar.gz", hash = "sha256:f0f4484c6541a99862b693e13a151435a279b271cff20e37101116a21e2a1ad1"},
+    {file = "ruff-0.3.5-py3-none-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = "sha256:aef5bd3b89e657007e1be6b16553c8813b221ff6d92c7526b7e0227450981eac"},
+    {file = "ruff-0.3.5-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:89b1e92b3bd9fca249153a97d23f29bed3992cff414b222fcd361d763fc53f12"},
+    {file = "ruff-0.3.5-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5e55771559c89272c3ebab23326dc23e7f813e492052391fe7950c1a5a139d89"},
+    {file = "ruff-0.3.5-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:dabc62195bf54b8a7876add6e789caae0268f34582333cda340497c886111c39"},
+    {file = "ruff-0.3.5-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3a05f3793ba25f194f395578579c546ca5d83e0195f992edc32e5907d142bfa3"},
+    {file = "ruff-0.3.5-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:dfd3504e881082959b4160ab02f7a205f0fadc0a9619cc481982b6837b2fd4c0"},
+    {file = "ruff-0.3.5-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:87258e0d4b04046cf1d6cc1c56fadbf7a880cc3de1f7294938e923234cf9e498"},
+    {file = "ruff-0.3.5-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:712e71283fc7d9f95047ed5f793bc019b0b0a29849b14664a60fd66c23b96da1"},
+    {file = "ruff-0.3.5-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a532a90b4a18d3f722c124c513ffb5e5eaff0cc4f6d3aa4bda38e691b8600c9f"},
+    {file = "ruff-0.3.5-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:122de171a147c76ada00f76df533b54676f6e321e61bd8656ae54be326c10296"},
+    {file = "ruff-0.3.5-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:d80a6b18a6c3b6ed25b71b05eba183f37d9bc8b16ace9e3d700997f00b74660b"},
+    {file = "ruff-0.3.5-py3-none-musllinux_1_2_i686.whl", hash = "sha256:a7b6e63194c68bca8e71f81de30cfa6f58ff70393cf45aab4c20f158227d5936"},
+    {file = "ruff-0.3.5-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:a759d33a20c72f2dfa54dae6e85e1225b8e302e8ac655773aff22e542a300985"},
+    {file = "ruff-0.3.5-py3-none-win32.whl", hash = "sha256:9d8605aa990045517c911726d21293ef4baa64f87265896e491a05461cae078d"},
+    {file = "ruff-0.3.5-py3-none-win_amd64.whl", hash = "sha256:dc56bb16a63c1303bd47563c60482a1512721053d93231cf7e9e1c6954395a0e"},
+    {file = "ruff-0.3.5-py3-none-win_arm64.whl", hash = "sha256:faeeae9905446b975dcf6d4499dc93439b131f1443ee264055c5716dd947af55"},
+    {file = "ruff-0.3.5.tar.gz", hash = "sha256:a067daaeb1dc2baf9b82a32dae67d154d95212080c80435eb052d95da647763d"},
 ]
 
 [[package]]
@@ -2884,6 +2884,20 @@ files = [
 docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
 test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<8.1)", "pytest-mock", "pytest-mypy-testing"]
 
+[[package]]
+name = "types-requests"
+version = "2.31.0.20240403"
+description = "Typing stubs for requests"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "types-requests-2.31.0.20240403.tar.gz", hash = "sha256:e1e0cd0b655334f39d9f872b68a1310f0e343647688bf2cee932ec4c2b04de59"},
+    {file = "types_requests-2.31.0.20240403-py3-none-any.whl", hash = "sha256:06abf6a68f5c4f2a62f6bb006672dfb26ed50ccbfddb281e1ee6f09a65707d5d"},
+]
+
+[package.dependencies]
+urllib3 = ">=2"
+
 [[package]]
 name = "typing-extensions"
 version = "4.10.0"
@@ -3143,4 +3157,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<4.0"
-content-hash = "8c0b04a6b24a79822da079a8ff5689d0b5ca1c1df367aba11162894dd9086947"
+content-hash = "9c7e74bec9a4feacefd82e9b94765aa0ded5fe4efd73e4023cbc7cd03bfc473d"
diff --git a/pyproject.toml b/pyproject.toml
index 85226ad..f439afd 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -43,6 +43,7 @@ ruff = ">=0.1.5,<0.4.0"
 
 [tool.poetry.group.typing.dependencies]
 mypy = ">=0.991,<1.10"
+types-requests = "^2.31.0.20240403"
 
 [tool.poetry.group.dev]
 optional = true
diff --git a/tests/integration_tests/test_compile.py b/tests/integration_tests/test_compile.py
new file mode 100644
index 0000000..33ecccd
--- /dev/null
+++ b/tests/integration_tests/test_compile.py
@@ -0,0 +1,7 @@
+import pytest
+
+
+@pytest.mark.compile
+def test_placeholder() -> None:
+    """Used for compiling integration tests without running any real tests."""
+    pass
diff --git a/tests/unit_tests/test__math.py b/tests/unit_tests/test__math.py
index 2502f66..a70a032 100644
--- a/tests/unit_tests/test__math.py
+++ b/tests/unit_tests/test__math.py
@@ -3,7 +3,7 @@
 from langchain_weaviate._math import cosine_similarity_top_k
 
 
-def test_cosine_similarity_top_k():
+def test_cosine_similarity_top_k() -> None:
     X = np.array([[1, 0], [0, 1]])
     Y = np.array([[0, 1], [1, 0]])
 
diff --git a/tests/unit_tests/test_vectorstores_integration.py b/tests/unit_tests/test_vectorstores_integration.py
index 008f620..719480c 100644
--- a/tests/unit_tests/test_vectorstores_integration.py
+++ b/tests/unit_tests/test_vectorstores_integration.py
@@ -3,11 +3,11 @@
 import logging
 import re
 import uuid
-from typing import List, Union
+from typing import Any, List, Optional, Union, cast
 
 import pytest
 import requests
-import weaviate
+import weaviate  # type: ignore
 from langchain_core.documents import Document
 
 from langchain_weaviate.vectorstores import WeaviateVectorStore
@@ -17,21 +17,22 @@
 logging.basicConfig(level=logging.DEBUG)
 
 
-def setup_module(module):
+def setup_module(module: Any) -> None:
     pass
 
 
-def is_ready(url):
+def is_ready(url: str) -> bool:
     try:
         response = requests.get(url)
         if response.status_code == 200:
             return True
     except requests.exceptions.ConnectionError:
-        return False
+        pass
+    return False
 
 
 @pytest.fixture(scope="function")
-def weaviate_client(docker_ip, docker_services):
+def weaviate_client(docker_ip: Any, docker_services: Any) -> Any:
     http_port = docker_services.port_for("weaviate", 8080)
     grpc_port = docker_services.port_for("weaviate", 50051)
     url = f"http://{docker_ip}:{http_port}"
@@ -58,17 +59,17 @@ def weaviate_client(docker_ip, docker_services):
 
 
 @pytest.fixture
-def texts():
+def texts() -> List[str]:
     return ["foo", "bar", "baz"]
 
 
 @pytest.fixture
-def embedding():
+def embedding() -> FakeEmbeddings:
     return FakeEmbeddings()
 
 
 @pytest.fixture
-def consistent_embedding():
+def consistent_embedding() -> ConsistentFakeEmbeddings:
     return ConsistentFakeEmbeddings()
 
 
@@ -267,7 +268,9 @@ def test_max_marginal_relevance_search_with_filter(
 
 
 def test_add_texts_with_given_embedding(
-    weaviate_client: weaviate.WeaviateClient, texts, embedding
+    weaviate_client: weaviate.WeaviateClient,
+    texts: List[str],
+    embedding: FakeEmbeddings,
 ) -> None:
     docsearch = WeaviateVectorStore.from_texts(
         texts, embedding=embedding, client=weaviate_client
@@ -282,7 +285,9 @@ def test_add_texts_with_given_embedding(
 
 
 def test_add_texts_with_given_uuids(
-    weaviate_client: weaviate.WeaviateClient, texts, embedding
+    weaviate_client: weaviate.WeaviateClient,
+    texts: List[str],
+    embedding: FakeEmbeddings,
 ) -> None:
     uuids = [uuid.uuid5(uuid.NAMESPACE_DNS, text) for text in texts]
 
@@ -301,7 +306,9 @@ def test_add_texts_with_given_uuids(
 
 
 def test_add_texts_with_metadata(
-    weaviate_client: weaviate.WeaviateClient, texts, embedding
+    weaviate_client: weaviate.WeaviateClient,
+    texts: List[str],
+    embedding: FakeEmbeddings,
 ) -> None:
     """
     Test that the text's metadata ends up in Weaviate too
@@ -330,7 +337,9 @@ def test_add_texts_with_metadata(
 
 
 def test_add_text_with_given_id(
-    weaviate_client: weaviate.WeaviateClient, texts, embedding
+    weaviate_client: weaviate.WeaviateClient,
+    texts: List[str],
+    embedding: FakeEmbeddings,
 ) -> None:
     """
     Test that the text's id ends up in Weaviate too
@@ -430,7 +439,7 @@ def test_delete(
 
 @pytest.mark.parametrize("use_multi_tenancy", [True, False])
 def test_enable_multi_tenancy(
-    use_multi_tenancy,
+    use_multi_tenancy: bool,
     weaviate_client: weaviate.WeaviateClient,
     embedding: FakeEmbeddings,
 ) -> None:
@@ -488,7 +497,7 @@ def test_add_texts_with_multi_tenancy(
     weaviate_client: weaviate.WeaviateClient,
     texts: List[str],
     embedding: FakeEmbeddings,
-    caplog,
+    caplog: Any,
 ) -> None:
     index_name = "TestMultiTenancy"
     tenant_name = "Foo"
@@ -535,8 +544,8 @@ def test_add_texts_with_multi_tenancy(
     "use_multi_tenancy, tenant_name", [(True, "Foo"), (False, None)]
 )
 def test_simple_from_texts(
-    use_multi_tenancy,
-    tenant_name,
+    use_multi_tenancy: bool,
+    tenant_name: Optional[str],
     weaviate_client: weaviate.WeaviateClient,
     texts: List[str],
     embedding: FakeEmbeddings,
@@ -555,7 +564,9 @@ def test_simple_from_texts(
 
 
 def test_search_with_multi_tenancy(
-    weaviate_client: weaviate.WeaviateClient, texts: List[str], consistent_embedding
+    weaviate_client: weaviate.WeaviateClient,
+    texts: List[str],
+    consistent_embedding: ConsistentFakeEmbeddings,
 ) -> None:
     index_name = f"Index_{uuid.uuid4().hex}"
     tenant_name = "Foo"
@@ -600,7 +611,7 @@ def test_search_with_multi_tenancy(
         docsearch.similarity_search("foo", k=1)
 
 
-def test_invalid_client_type():
+def test_invalid_client_type() -> None:
     with pytest.raises(ValueError) as excinfo:
         invalid_client = "invalid_client"
         index_name = "test_index"
@@ -618,7 +629,9 @@ def test_invalid_client_type():
     )
 
 
-def test_embedding_property(weaviate_client, consistent_embedding):
+def test_embedding_property(
+    weaviate_client: Any, consistent_embedding: ConsistentFakeEmbeddings
+) -> None:
     index_name = "test_index"
     text_key = "text"
 
@@ -632,7 +645,9 @@ def test_embedding_property(weaviate_client, consistent_embedding):
     assert type(docsearch.embeddings) == type(consistent_embedding)
 
 
-def test_documents_with_many_properties(weaviate_client, consistent_embedding):
+def test_documents_with_many_properties(
+    weaviate_client: Any, consistent_embedding: ConsistentFakeEmbeddings
+) -> None:
     data = [
         {
             "aliases": ["Big Tech Co", "Tech Giant"],
@@ -683,7 +698,7 @@ def test_documents_with_many_properties(weaviate_client, consistent_embedding):
         embedding=consistent_embedding,
     )
 
-    texts = [doc["page_content"] for doc in data]
+    texts: List[str] = [cast(str, doc["page_content"]) for doc in data]
     metadatas = [{k: doc[k] for k in doc if k != "page_content"} for doc in data]
     doc_ids = docsearch.add_texts(texts, metadatas=metadatas, uuids=uuids)
 
@@ -704,7 +719,9 @@ def test_documents_with_many_properties(weaviate_client, consistent_embedding):
     assert set(doc.metadata.keys()) == {"uuid", "ticker", "categoryid"}
 
 
-def test_ingest_bad_documents(weaviate_client, consistent_embedding, caplog):
+def test_ingest_bad_documents(
+    weaviate_client: Any, consistent_embedding: ConsistentFakeEmbeddings, caplog: Any
+) -> None:
     # try to ingest 2 documents
     docs = [
         Document(page_content="foo", metadata={"page": 0}),
@@ -745,7 +762,7 @@ def test_ingest_bad_documents(weaviate_client, consistent_embedding, caplog):
 
 
 @pytest.mark.parametrize("auto_limit, expected_num_docs", [(0, 4), (1, 3)])
-def test_autocut(weaviate_client, auto_limit, expected_num_docs):
+def test_autocut(weaviate_client: Any, auto_limit: int, expected_num_docs: int) -> None:
     index_name = f"TestIndex_{uuid.uuid4().hex}"
     text_key = "page_content"
 
@@ -773,7 +790,7 @@ def test_autocut(weaviate_client, auto_limit, expected_num_docs):
         text_key=text_key,
     )
 
-    def run_similarity_test(search_method):
+    def run_similarity_test(search_method: str) -> None:
         f = getattr(docsearch, search_method)
         results = f(
             query=query,
@@ -791,7 +808,9 @@ def run_similarity_test(search_method):
     run_similarity_test("similarity_search_with_score")
 
 
-def test_invalid_search_param(weaviate_client, consistent_embedding):
+def test_invalid_search_param(
+    weaviate_client: Any, consistent_embedding: ConsistentFakeEmbeddings
+) -> None:
     index_name = f"TestIndex_{uuid.uuid4().hex}"
     text_key = "page"
     weaviate_vector_store = WeaviateVectorStore(
diff --git a/tests/unit_tests/test_vectorstores_unit.py b/tests/unit_tests/test_vectorstores_unit.py
index af39f25..281ce16 100644
--- a/tests/unit_tests/test_vectorstores_unit.py
+++ b/tests/unit_tests/test_vectorstores_unit.py
@@ -1,4 +1,5 @@
 import datetime
+from typing import Union
 
 import numpy as np
 import pytest
@@ -10,7 +11,7 @@
 
 
 @pytest.mark.parametrize("val, expected_result", [(1e6, 1.0), (-1e6, 0.0)])
-def test_default_score_normalizer(val, expected_result):
+def test_default_score_normalizer(val: float, expected_result: float) -> None:
     assert np.isclose(_default_score_normalizer(val), expected_result, atol=1e-6)
 
 
@@ -23,5 +24,8 @@ def test_default_score_normalizer(val, expected_result):
         (None, None),
     ],
 )
-def test_json_serializable(value, expected_result):
+def test_json_serializable(
+    value: Union[datetime.datetime, str, int, None],
+    expected_result: Union[str, int, None],
+) -> None:
     assert _json_serializable(value) == expected_result