diff --git a/.github/workflows/integration-test-workflow-debian.yml b/.github/workflows/integration-test-workflow-debian.yml
index 697f7eb34..84b73b025 100644
--- a/.github/workflows/integration-test-workflow-debian.yml
+++ b/.github/workflows/integration-test-workflow-debian.yml
@@ -29,6 +29,17 @@ jobs:
         sudo systemctl start postgresql.service
         sudo -u postgres psql -c "ALTER USER postgres PASSWORD 'postgres';"
 
+    - name: Install pgvector
+      run: |
+        sudo apt-get install -y build-essential
+        sudo apt-get install -y postgresql-server-dev-all
+        git clone https://github.com/pgvector/pgvector.git
+        cd pgvector
+        make
+        sudo make install
+        cd ..
+        sudo -u postgres psql -c "CREATE EXTENSION vector;"
+        
     - uses: actions/checkout@v4
     - uses: actions/setup-python@v4
       with:
diff --git a/py/tests/core/providers/embedding/conftest.py b/py/tests/core/providers/embedding/conftest.py
index 48cf7fb69..75e67a124 100644
--- a/py/tests/core/providers/embedding/conftest.py
+++ b/py/tests/core/providers/embedding/conftest.py
@@ -20,20 +20,22 @@ async def cleanup_tasks():
 
 
 @pytest.fixture
-def openai_provider():
+def openai_provider(app_config):
     config = EmbeddingConfig(
         provider="openai",
         base_model="text-embedding-ada-002",
         base_dimension=1536,
+        app=app_config
     )
     return OpenAIEmbeddingProvider(config)
 
 
 @pytest.fixture
-def ollama_provider():
+def ollama_provider(app_config):
     config = EmbeddingConfig(
         provider="ollama",
         base_model="mxbai-embed-large",
         base_dimension=1024,
+        app=app_config
     )
     return OllamaEmbeddingProvider(config)
diff --git a/py/tests/core/providers/embedding/test_litellm_embedding_provider.py b/py/tests/core/providers/embedding/test_litellm_embedding_provider.py
index b3c35a83e..e66eaf36c 100644
--- a/py/tests/core/providers/embedding/test_litellm_embedding_provider.py
+++ b/py/tests/core/providers/embedding/test_litellm_embedding_provider.py
@@ -21,11 +21,12 @@ async def cleanup_tasks():
 
 
 @pytest.fixture
-def litellm_provider():
+def litellm_provider(app_config):
     config = EmbeddingConfig(
         provider="litellm",
         base_model="openai/text-embedding-3-small",
         base_dimension=1536,
+        app=app_config
     )
 
     return LiteLLMEmbeddingProvider(config)
@@ -37,9 +38,9 @@ def test_litellm_initialization(litellm_provider):
     assert litellm_provider.base_dimension == 1536
 
 
-def test_litellm_invalid_provider_initialization():
+def test_litellm_invalid_provider_initialization(app_config):
     with pytest.raises(ValueError):
-        config = EmbeddingConfig(provider="invalid_provider")
+        config = EmbeddingConfig(provider="invalid_provider", app=app_config)
         LiteLLMEmbeddingProvider(config)
 
 
@@ -73,12 +74,13 @@ async def test_litellm_async_get_embeddings(litellm_provider):
         assert all(len(emb) == 1536 for emb in embeddings)
 
 
-def test_litellm_rerank_model_not_supported():
+def test_litellm_rerank_model_not_supported(app_config):
     config = EmbeddingConfig(
         provider="litellm",
         base_model="openai/text-embedding-3-small",
         base_dimension=1536,
         rerank_model="some-model",
+        app=app_config
     )
     with pytest.raises(
         ValueError, match="does not support separate reranking"
@@ -86,11 +88,12 @@ def test_litellm_rerank_model_not_supported():
         LiteLLMEmbeddingProvider(config)
 
 
-def test_litellm_unsupported_stage():
+def test_litellm_unsupported_stage(app_config):
     config = EmbeddingConfig(
         provider="litellm",
         base_model="openai/text-embedding-3-small",
         base_dimension=1536,
+        app=app_config
     )
     provider = LiteLLMEmbeddingProvider(config)
     with pytest.raises(
@@ -102,11 +105,12 @@ def test_litellm_unsupported_stage():
 
 
 @pytest.mark.asyncio
-async def test_litellm_async_unsupported_stage():
+async def test_litellm_async_unsupported_stage(app_config):
     config = EmbeddingConfig(
         provider="litellm",
         base_model="openai/text-embedding-3-small",
         base_dimension=1536,
+        app=app_config
     )
     provider = LiteLLMEmbeddingProvider(config)
     with pytest.raises(