Improve installer experience and beginner-friendly features

- Replace slow full-project test with fast 3-file sample
- Add beginner guidance and welcome messages
- Add sample questions to combat prompt paralysis
- Add intelligent follow-up question suggestions
- Improve TUI with contextual next steps

Installer improvements:
- Create minimal sample project (3 files) for testing
- Add helpful tips and guidance for new users
- Better error messaging and progress indicators

TUI enhancements:
- Welcome message for first-time users
- Sample search questions (authentication, error handling, etc.)
- Pattern-based follow-up question generation
- Contextual suggestions based on search results

These changes address user feedback about installation taking too long
and beginners not knowing what to search for.

install_mini_rag.sh

@@ -549,35 +549,125 @@ show_completion() {
     read -r run_test
     if [[ ! $run_test =~ ^[Nn]$ ]]; then
         run_quick_test
+        echo ""
+        show_beginner_guidance
+    else
+        show_beginner_guidance
     fi
 }
 
-# Run quick test
+# Create sample project for testing
+create_sample_project() {
+    local sample_dir="$SCRIPT_DIR/.sample_test"
+    rm -rf "$sample_dir"
+    mkdir -p "$sample_dir"
+    
+    # Create a few small sample files
+    cat > "$sample_dir/README.md" << 'EOF'
+# Sample Project
+
+This is a sample project for testing FSS-Mini-RAG search capabilities.
+
+## Features
+
+- User authentication system
+- Document processing
+- Search functionality
+- Email integration
+EOF
+
+    cat > "$sample_dir/auth.py" << 'EOF'
+# Authentication module
+def login_user(username, password):
+    """Handle user login with password validation"""
+    if validate_credentials(username, password):
+        create_session(username)
+        return True
+    return False
+
+def validate_credentials(username, password):
+    """Check username and password against database"""
+    # Database validation logic here
+    return check_password_hash(username, password)
+EOF
+
+    cat > "$sample_dir/search.py" << 'EOF'
+# Search functionality
+def semantic_search(query, documents):
+    """Perform semantic search across document collection"""
+    embeddings = generate_embeddings(query)
+    results = find_similar_documents(embeddings, documents)
+    return rank_results(results)
+
+def generate_embeddings(text):
+    """Generate vector embeddings for text"""
+    # Embedding generation logic
+    return process_with_model(text)
+EOF
+
+    echo "$sample_dir"
+}
+
+# Run quick test with sample data
 run_quick_test() {
     print_header "Quick Test"
     
-    print_info "Testing on this project directory..."
+    print_info "Creating small sample project for testing..."
-    echo "This will index the FSS-Mini-RAG system itself as a test."
+    local sample_dir=$(create_sample_project)
+    echo "Sample project created with 3 files for fast testing."
     echo ""
     
-    # Index this project
+    # Index the sample project (much faster)
-    if ./rag-mini index "$SCRIPT_DIR"; then
+    print_info "Indexing sample project (this should be fast)..."
-        print_success "Indexing completed"
+    if ./rag-mini index "$sample_dir" --quiet; then
+        print_success "Sample project indexed successfully"
         
-        # Try a search
         echo ""
-        print_info "Testing search functionality..."
+        print_info "Testing search with sample queries..."
-        ./rag-mini search "$SCRIPT_DIR" "embedding system" --limit 3
+        echo -e "${BLUE}Running search: 'user authentication'${NC}"
+        ./rag-mini search "$sample_dir" "user authentication" --limit 2
         
         echo ""
         print_success "Test completed successfully!"
-        echo -e "${CYAN}You can now use FSS-Mini-RAG on your own projects.${NC}"
+        echo -e "${CYAN}Ready to use FSS-Mini-RAG on your own projects!${NC}"
+        
+        # Offer beginner guidance
+        echo ""
+        echo -e "${YELLOW}💡 Beginner Tip:${NC} Try the interactive mode with pre-made questions"
+        echo "   Run: ./rag-tui for guided experience"
+        
+        # Clean up sample
+        rm -rf "$sample_dir"
     else
-        print_error "Test failed"
+        print_error "Sample test failed"
-        echo "Check the error messages above for troubleshooting."
+        echo "This might indicate an issue with the installation."
+        rm -rf "$sample_dir"
     fi
 }
 
+# Show beginner-friendly first steps
+show_beginner_guidance() {
+    print_header "Getting Started - Your First Search"
+    
+    echo -e "${CYAN}FSS-Mini-RAG is ready! Here's how to start:${NC}"
+    echo ""
+    echo -e "${GREEN}🎯 For Beginners (Recommended):${NC}"
+    echo "   ./rag-tui"
+    echo "   ↳ Interactive interface with sample questions"
+    echo ""
+    echo -e "${BLUE}💻 For Developers:${NC}"
+    echo "   ./rag-mini index /path/to/your/project"
+    echo "   ./rag-mini search /path/to/your/project \"your question\""
+    echo ""
+    echo -e "${YELLOW}📚 What can you search for?${NC}"
+    echo "   • Code: \"authentication logic\", \"error handling\", \"API endpoints\""
+    echo "   • Docs: \"installation guide\", \"configuration options\"
+    echo "   • Your own files: emails, notes, research documents"
+    echo ""
+    echo -e "${CYAN}💡 Pro tip:${NC} You can drag ANY text-based documents into a folder"
+    echo "   and search through them - emails, notes, research, chat logs!"
+}
+
 # Main installation flow
 main() {
     echo -e "${CYAN}${BOLD}"

rag-tui.py

@@ -278,8 +278,37 @@ class SimpleTUI:
         print(f"Project: {self.project_path.name}")
         print()
         
-        # Get search query
+        # Show sample questions for beginners
-        query = self.get_input("Enter search query", "").strip()
+        print("💡 Not sure what to search for? Try these sample questions:")
+        print()
+        sample_questions = [
+            "authentication logic",
+            "error handling", 
+            "API endpoints",
+            "configuration settings",
+            "database connection",
+            "user management"
+        ]
+        
+        for i, question in enumerate(sample_questions[:3], 1):
+            print(f"   {i}. {question}")
+        print("   4. Enter your own question")
+        print()
+        
+        # Let user choose a sample or enter their own
+        choice_str = self.get_input("Choose a number (1-4) or press Enter for custom", "4")
+        
+        try:
+            choice = int(choice_str)
+            if 1 <= choice <= 3:
+                query = sample_questions[choice - 1]
+                print(f"Selected: '{query}'")
+                print()
+            else:
+                query = self.get_input("Enter your search query", "").strip()
+        except ValueError:
+            query = self.get_input("Enter your search query", "").strip()
+            
         if not query:
             return
         
@@ -354,6 +383,38 @@ class SimpleTUI:
                 if len(results) > 1:
                     print("💡 To see more context or specific results:")
                     print(f"   Run: ./rag-mini search {self.project_path} \"{query}\" --verbose")
+                
+                # Suggest follow-up questions based on the search
+                print()
+                print("🔍 Suggested follow-up searches:")
+                follow_up_questions = self.generate_follow_up_questions(query, results)
+                for i, question in enumerate(follow_up_questions, 1):
+                    print(f"   {i}. {question}")
+                
+                # Ask if they want to run a follow-up search
+                print()
+                choice = input("Run a follow-up search? Enter number (1-3) or press Enter to continue: ").strip()
+                if choice.isdigit() and 1 <= int(choice) <= len(follow_up_questions):
+                    # Recursive search with the follow-up question
+                    follow_up_query = follow_up_questions[int(choice) - 1]
+                    print(f"\nSearching for: '{follow_up_query}'")
+                    print("=" * 50)
+                    # Run another search
+                    follow_results = searcher.search(follow_up_query, top_k=5)
+                    
+                    if follow_results:
+                        print(f"✅ Found {len(follow_results)} follow-up results:")
+                        print()
+                        for i, result in enumerate(follow_results[:3], 1):  # Show top 3
+                            try:
+                                rel_path = result.file_path.relative_to(self.project_path)
+                            except:
+                                rel_path = result.file_path
+                            print(f"{i}. {rel_path} (Score: {result.score:.3f})")
+                            print(f"   {result.content.strip()[:100]}...")
+                            print()
+                    else:
+                        print("❌ No follow-up results found")
                     print(f"   Or: ./rag-mini-enhanced context {self.project_path} \"{query}\"")
                     print()
             
@@ -364,6 +425,45 @@ class SimpleTUI:
         print()
         input("Press Enter to continue...")
     
+    def generate_follow_up_questions(self, original_query: str, results) -> List[str]:
+        """Generate contextual follow-up questions based on search results."""
+        # Simple pattern-based follow-up generation
+        follow_ups = []
+        
+        # Based on original query patterns
+        query_lower = original_query.lower()
+        
+        if "auth" in query_lower or "login" in query_lower:
+            follow_ups.extend(["password validation", "session management", "user permissions"])
+        elif "error" in query_lower or "exception" in query_lower:
+            follow_ups.extend(["error logging", "exception handling", "error messages"])
+        elif "api" in query_lower or "endpoint" in query_lower:
+            follow_ups.extend(["API documentation", "request validation", "response formatting"])
+        elif "database" in query_lower or "db" in query_lower:
+            follow_ups.extend(["database schema", "query optimization", "connection pooling"])
+        elif "config" in query_lower or "setting" in query_lower:
+            follow_ups.extend(["configuration files", "environment variables", "default values"])
+        else:
+            # Generic follow-ups
+            follow_ups.extend(["implementation details", "error handling", "configuration"])
+        
+        # Based on file types found in results
+        if results:
+            file_extensions = set()
+            for result in results[:3]:  # Check first 3 results
+                ext = result.file_path.suffix.lower()
+                file_extensions.add(ext)
+            
+            if '.py' in file_extensions:
+                follow_ups.append("Python imports")
+            if '.js' in file_extensions:
+                follow_ups.append("JavaScript functions")
+            if '.md' in file_extensions:
+                follow_ups.append("documentation examples")
+        
+        # Return top 3 unique follow-ups
+        return list(dict.fromkeys(follow_ups))[:3]
+    
     def explore_interactive(self):
         """Interactive exploration interface with thinking mode."""
         if not self.project_path:
@@ -682,6 +782,12 @@ class SimpleTUI:
                 status = "✅ Indexed" if rag_dir.exists() else "❌ Not indexed"
                 print(f"📁 Current project: {self.project_path.name} ({status})")
                 print()
+            else:
+                # Show beginner tips when no project selected
+                print("🎯 Welcome to FSS-Mini-RAG!")
+                print("   Search through code, documents, emails, notes - anything text-based!")
+                print("   Start by selecting a project directory below.")
+                print()
             
             options = [
                 "Select project directory",