diff --git a/docs/docs/get-started/quickstart.mdx b/docs/docs/get-started/quickstart.mdx
index fee479a2..d040fd22 100644
--- a/docs/docs/get-started/quickstart.mdx
+++ b/docs/docs/get-started/quickstart.mdx
@@ -89,7 +89,7 @@ For example: `What documents are available to you?`
 
    The agent responds with a summary of OpenRAG's default documents.
 
-3. To verify the agent's response, click <Icon name="Library" aria-hidden="true"/> **Knowledge** to view the documents stored in the OpenRAG OpenSearch vector database.
+3. To verify the agent's response, click <Icon name="Library" aria-hidden="true"/> **Knowledge** to view the documents stored in the OpenRAG OpenSearch database.
 You can click a document to view the chunks of the document as they are stored in the database.
 
 4. Click **Add Knowledge** to add your own documents to your OpenRAG knowledge base.
@@ -106,7 +106,7 @@ You can click a document to view the chunks of the document as they are stored i
 
    * Click <Icon name="Gear" aria-hidden="true"/> **Function Call: search_documents (tool_call)** to view the log of tool calls made by the agent. This is helpful for troubleshooting because it shows you how the agent used particular tools.
 
-   * Click <Icon name="Library" aria-hidden="true"/> **Knowledge** to confirm that the documents are present in the OpenRAG OpenSearch vector database, and then click each document to see how the document was chunked.
+   * Click <Icon name="Library" aria-hidden="true"/> **Knowledge** to confirm that the documents are present in the OpenRAG OpenSearch database, and then click each document to see how the document was chunked.
    If a document was chunked improperly, you might need to tweak the ingestion or modify and reupload the document.
 
    * Click <Icon name="Settings2" aria-hidden="true"/> **Settings** to modify the knowledge ingestion settings.
diff --git a/docs/docs/get-started/what-is-openrag.mdx b/docs/docs/get-started/what-is-openrag.mdx
index 1bb4e66e..440d4604 100644
--- a/docs/docs/get-started/what-is-openrag.mdx
+++ b/docs/docs/get-started/what-is-openrag.mdx
@@ -4,11 +4,11 @@ slug: /
 hide_table_of_contents: true
 ---
 
-OpenRAG is an open-source package for building agentic RAG systems that integrates with a wide range of orchestration tools, vector databases, and LLM providers.
+OpenRAG is an open-source package for building agentic RAG systems that integrates with a wide range of orchestration tools, databases, and LLM providers.
 
 OpenRAG connects and amplifies three popular, proven open-source projects into one powerful platform:
 
-* [Langflow](https://docs.langflow.org): Langflow is a versatile tool for building and deploying AI agents and MCP servers. It supports all major LLMs, vector databases, and a growing library of AI tools.
+* [Langflow](https://docs.langflow.org): Langflow is a versatile tool for building and deploying AI agents and MCP servers. It supports all major LLMs, popular vector databases, and a growing library of AI tools.
 
    OpenRAG uses several built-in flows, and it provides full access to all Langflow features through the embedded Langflow visual editor.
 
@@ -17,7 +17,7 @@ OpenRAG connects and amplifies three popular, proven open-source projects into o
 * [OpenSearch](https://docs.opensearch.org/latest/): OpenSearch is a community-driven, Apache 2.0-licensed open source search and analytics suite that makes it easy to ingest, search, visualize, and analyze data.
 It provides powerful hybrid search capabilities with enterprise-grade security and multi-tenancy support.
 
-   OpenRAG uses OpenSearch as the underlying vector database for storing and retrieving your documents and associated vector data (embeddings). You can ingest documents from a variety of sources, including your local filesystem and OAuth authenticated connectors to popular cloud storage services.
+   OpenRAG uses OpenSearch as the underlying database for storing and retrieving your documents and associated vector data (embeddings). You can ingest documents from a variety of sources, including your local filesystem and OAuth authenticated connectors to popular cloud storage services.
 
 * [Docling](https://docling-project.github.io/docling/): Docling simplifies document processing, supports many file formats and advanced PDF parsing, and provides seamless integrations with the generative AI ecosystem.
 
@@ -59,7 +59,7 @@ flowchart TD
 
 * **OpenRAG backend**: The central orchestration service that coordinates all other components.
 
-* **Langflow**: This container runs a Langflow instance. It provides the embedded Langflow visual editor for editing and creating flow, and it connects to the **OpenSearch** container for vector storage and retrieval.
+* **Langflow**: This container runs a Langflow instance. It provides the embedded Langflow visual editor for editing and creating flow, and it connects to the **OpenSearch** container for document storage and retrieval.
 
 * **Docling Serve**: This is a local document processing service managed by the **OpenRAG backend**.
 
diff --git a/pyproject.toml b/pyproject.toml
index 483264fd..d29eaa0c 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "openrag"
-version = "0.1.53"
+version = "0.1.54"
 description = "Add your description here"
 readme = "README.md"
 requires-python = ">=3.13"
diff --git a/src/tui/screens/welcome.py b/src/tui/screens/welcome.py
index 84b76520..dc017a3a 100644
--- a/src/tui/screens/welcome.py
+++ b/src/tui/screens/welcome.py
@@ -96,7 +96,10 @@ class WelcomeScreen(Screen):
         try:
             # Use detected runtime command to check services
             import subprocess
-            compose_cmd = self.container_manager.runtime_info.compose_command + ["ps", "--format", "json"]
+            compose_cmd = self.container_manager.runtime_info.compose_command + [
+                "-f", str(self.container_manager.compose_file),
+                "ps", "--format", "json"
+            ]
             result = subprocess.run(
                 compose_cmd,
                 capture_output=True,
@@ -128,20 +131,38 @@ class WelcomeScreen(Screen):
 
                 # Check if services are running (exclude starting/created states)
                 # State can be lowercase or mixed case, so normalize it
-                running_services = []
-                starting_services = []
+                # Only consider expected services (filter out stale/leftover containers)
+                expected = set(self.container_manager.expected_services)
+                name_map = self.container_manager.container_name_map
+                running_services = set()
+                starting_services = set()
                 for s in services:
                     if not isinstance(s, dict):
                         continue
+                    # Get service name - try compose label first (most reliable for Podman)
+                    labels = s.get('Labels', {}) or {}
+                    service_name = labels.get('com.docker.compose.service', '')
+                    if not service_name:
+                        # Fall back to container name mapping
+                        container_name = s.get('Name') or s.get('Service', '')
+                        if not container_name:
+                            names = s.get('Names', [])
+                            if names and isinstance(names, list):
+                                container_name = names[0]
+                        # Map container name to service name using container_name_map
+                        service_name = name_map.get(container_name, container_name)
+                    # Skip if not an expected service
+                    if service_name not in expected:
+                        continue
                     state = str(s.get('State', '')).lower()
                     if state == 'running':
-                        running_services.append(s)
+                        running_services.add(service_name)
                     elif 'starting' in state or 'created' in state:
-                        starting_services.append(s)
-                
-                # Only consider services running if we have running services AND no starting services
-                # This prevents showing the button when containers are still coming up
-                self.services_running = len(running_services) > 0 and len(starting_services) == 0
+                        starting_services.add(service_name)
+
+                # Services are running if all expected services are in running state
+                # (i.e., we have all expected services running and none are still starting)
+                self.services_running = len(running_services) == len(expected) and len(starting_services) == 0
             else:
                 self.services_running = False
         except Exception:
@@ -255,15 +276,15 @@ class WelcomeScreen(Screen):
         # Check if services are running
         if self.container_manager.is_available():
             services = await self.container_manager.get_service_status()
+            expected = set(self.container_manager.expected_services)
             running_services = [
                 s.name for s in services.values() if s.status == ServiceStatus.RUNNING
             ]
             starting_services = [
                 s.name for s in services.values() if s.status == ServiceStatus.STARTING
             ]
-            # Only consider services running if we have running services AND no starting services
-            # This prevents showing the button when containers are still coming up
-            self.services_running = len(running_services) > 0 and len(starting_services) == 0
+            # Services are running if all expected services are in running state
+            self.services_running = len(running_services) == len(expected) and len(starting_services) == 0
         else:
             self.services_running = False
 
diff --git a/uv.lock b/uv.lock
index 70441f90..868950f3 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,15 +1,12 @@
 version = 1
+revision = 3
 requires-python = ">=3.13"
 resolution-markers = [
     "platform_machine == 'x86_64' and sys_platform == 'linux'",
-    "platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform == 'linux'",
-    "platform_machine == 'aarch64' and platform_system != 'Linux' and sys_platform == 'linux'",
+    "platform_machine == 'aarch64' and sys_platform == 'linux'",
     "python_version < '0'",
-    "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and platform_system == 'Darwin' and sys_platform == 'linux') or (platform_system == 'Darwin' and sys_platform != 'darwin' and sys_platform != 'linux')",
-    "platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform != 'darwin' and sys_platform != 'linux'",
-    "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and platform_system != 'Darwin' and sys_platform == 'linux') or (platform_machine != 'aarch64' and platform_system == 'Linux' and sys_platform != 'darwin' and sys_platform != 'linux') or (platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform != 'darwin' and sys_platform != 'linux')",
-    "platform_system == 'Darwin' and sys_platform == 'darwin'",
-    "platform_system != 'Darwin' and sys_platform == 'darwin'",
+    "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')",
+    "sys_platform == 'darwin'",
 ]
 
 [[package]]
@@ -27,9 +24,9 @@ dependencies = [
     { name = "torch", version = "2.7.1+cu128", source = { registry = "https://download.pytorch.org/whl/cu128" }, marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
     { name = "torch", version = "2.8.0", source = { registry = "https://pypi.org/simple" }, marker = "platform_machine != 'x86_64' or sys_platform != 'linux'" },
 ]
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+sdist = { url = "https://files.pythonhosted.org/packages/b1/72/ff3961c19ee395c3d30ac630ee77bfb0e1b46b87edc504d4f83bb4a89705/accelerate-1.10.1.tar.gz", hash = "sha256:3dea89e433420e4bfac0369cae7e36dcd6a56adfcfd38cdda145c6225eab5df8", size = 392446, upload-time = "2025-08-25T13:57:06.21Z" }
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+    { url = "https://files.pythonhosted.org/packages/5f/a0/d9ef19f780f319c21ee90ecfef4431cbeeca95bec7f14071785c17b6029b/accelerate-1.10.1-py3-none-any.whl", hash = "sha256:3621cff60b9a27ce798857ece05e2b9f56fcc71631cfb31ccf71f0359c311f11", size = 374909, upload-time = "2025-08-25T13:57:04.55Z" },
 ]
 
 [[package]]
@@ -43,27 +40,27 @@ dependencies = [
     { name = "openai-agents" },
     { name = "pyyaml" },
 ]
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+sdist = { url = "https://files.pythonhosted.org/packages/3b/59/27fea10f85828a2b4c3f763e6f0f2739d13a86ec84e2cfffaa088cabc59a/agentd-0.2.2.tar.gz", hash = "sha256:9cd2a4bd465dc9fd212af9260b5fb73dcd9c09866f05f9ffd87e06213f442724", size = 123467, upload-time = "2025-08-12T01:57:41.963Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/8d/94/b07a64e0526b2c91b31d65c50ff6e500f4a1eba234ea29c0c642c2ca78d9/agentd-0.2.2-py3-none-any.whl", hash = "sha256:09c50f886d0558e89dd041ec0e0a18eee7f1447fcf401798fbf99432d7dc3c99", size = 16653, upload-time = "2025-08-12T01:57:40.758Z" },
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 [[package]]
 name = "aiofiles"
 version = "24.1.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/0b/03/a88171e277e8caa88a4c77808c20ebb04ba74cc4681bf1e9416c862de237/aiofiles-24.1.0.tar.gz", hash = "sha256:22a075c9e5a3810f0c2e48f3008c94d68c65d763b9b03857924c99e57355166c", size = 30247 }
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 [[package]]
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     { name = "propcache" },
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