Fix Slack MCP integration and update documentation

- Fix SlackMCPReader to use conversations_history instead of channels_list
- Add fallback imports for leann.interactive_utils and leann.settings
- Update slack-setup-guide.md with real screenshots and improved text
- Remove old screenshot files

apps/base_rag_example.py

@@ -10,9 +10,39 @@ from typing import Any
 
 import dotenv
 from leann.api import LeannBuilder, LeannChat
-from leann.interactive_utils import create_rag_session
+
+# Optional import: older PyPI builds may not include interactive_utils
+try:
+    from leann.interactive_utils import create_rag_session
+except ImportError:
+
+    def create_rag_session(app_name: str, data_description: str):
+        class _SimpleSession:
+            def run_interactive_loop(self, handler):
+                print(f"Interactive session for {app_name}: {data_description}")
+                print("Interactive mode not available in this build")
+
+        return _SimpleSession()
+
+
 from leann.registry import register_project_directory
-from leann.settings import resolve_ollama_host, resolve_openai_api_key, resolve_openai_base_url
+
+# Optional import: older PyPI builds may not include settings
+try:
+    from leann.settings import resolve_ollama_host, resolve_openai_api_key, resolve_openai_base_url
+except ImportError:
+    # Minimal fallbacks if settings helpers are unavailable
+    import os
+
+    def resolve_ollama_host(value: str | None) -> str | None:
+        return value or os.getenv("LEANN_OLLAMA_HOST") or os.getenv("OLLAMA_HOST")
+
+    def resolve_openai_api_key(value: str | None) -> str | None:
+        return value or os.getenv("OPENAI_API_KEY")
+
+    def resolve_openai_base_url(value: str | None) -> str | None:
+        return value or os.getenv("OPENAI_BASE_URL")
+
 
 dotenv.load_dotenv()
 

apps/slack_data/slack_mcp_reader.py

@@ -205,26 +205,41 @@ class SlackMCPReader:
         tools = await self.list_available_tools()
         message_tool = None
 
-        # Look for a tool that can fetch messages
+        # Look for a tool that can fetch messages - prioritize conversations_history
+        message_tool = None
+
+        # First, try to find conversations_history specifically
         for tool in tools:
             tool_name = tool.get("name", "").lower()
-            if any(
+            if "conversations_history" in tool_name:
-                keyword in tool_name
-                for keyword in ["message", "history", "channel", "conversation"]
-            ):
                 message_tool = tool
                 break
 
+        # If not found, look for other message-fetching tools
+        if not message_tool:
+            for tool in tools:
+                tool_name = tool.get("name", "").lower()
+                if any(
+                    keyword in tool_name
+                    for keyword in ["conversations_search", "message", "history"]
+                ):
+                    message_tool = tool
+                    break
+
         if not message_tool:
             raise RuntimeError("No message fetching tool found in MCP server")
 
         # Prepare tool call parameters
         tool_params = {"limit": limit}
         if channel:
-            # Try common parameter names for channel specification
+            # For conversations_history, use channel_id parameter
-            for param_name in ["channel", "channel_id", "channel_name"]:
+            if message_tool["name"] == "conversations_history":
-                tool_params[param_name] = channel
+                tool_params["channel_id"] = channel
-                break
+            else:
+                # Try common parameter names for channel specification
+                for param_name in ["channel", "channel_id", "channel_name"]:
+                    tool_params[param_name] = channel
+                    break
 
         fetch_request = {
             "jsonrpc": "2.0",

docs/slack-setup-guide.md

@@ -121,13 +121,21 @@ python -m apps.slack_rag \
 ```
 
 ### 4.3 Real RAG Query Example
-## Real RAG Query Example (Sky Lab Computing “random”)
 
-This example shows a real query against the Sky Lab Computing workspace’s “random” channel using the Slack MCP server, with an embedded screenshot of the terminal output.
+This example demonstrates a successful Slack RAG integration query against the Sky Lab Computing workspace's "random" channel. The system successfully retrieves actual conversation messages and performs semantic search with high relevance scores.
 
-### Screenshot
+**Key Features Demonstrated:**
+- ✅ **Real Slack Integration**: Successfully connects to Slack via MCP server
+- ✅ **Actual Message Retrieval**: Fetches real conversation history, not just metadata
+- ✅ **Working RAG Pipeline**: Complete index building, search, and response generation
+- ✅ **High Relevance Search**: Score of 0.5673 for research papers query
+- ✅ **Rich Content**: Real research discussions about AI papers, lab updates, etc.
 
-![Sky Random RAG](videos/rag-sky-random.png)
+### Screenshots
+
+![Sky Random RAG - Real Slack Integration](videos/slack_integration.png)
+
+![Sky Random RAG - Additional Demo](videos/slack_integration_2.png)
 
 ### Prerequisites