Integrate LLM synthesis across all interfaces and update demo

🔧 Integration Updates
- Added --synthesize flag to main rag-mini CLI
- Updated README with synthesis examples and 10 result default
- Enhanced demo script with 8 complete results (was cutting off at 5)
- Updated rag-tui default from 5 to 10 results
- Updated rag-mini-enhanced script defaults

📈 User Experience Improvements
- All components now consistently default to 10 results
- Demo shows complete 8-result workflow with multi-line previews
- Documentation reflects new AI analysis capabilities
- Seamless integration preserves existing workflows

Users get more comprehensive results by default and can optionally
add intelligent AI analysis with a simple --synthesize flag!

README.md

@@ -39,7 +39,8 @@ FSS-Mini-RAG is a distilled, lightweight implementation of a production-quality
 ./rag-tui                    # Friendly interface for beginners
 # OR
 ./rag-mini index ~/my-project     # Direct CLI for developers
-./rag-mini search ~/my-project "authentication logic"
+./rag-mini search ~/my-project "authentication logic"      # 10 results
+./rag-mini search ~/my-project "error handling" --synthesize  # AI analysis
 ```
 
 That's it. No external dependencies, no configuration required, no PhD in computer science needed.

create_demo_script.py

@@ -156,6 +156,24 @@ class DemoSimulator:
                 "function": "User.authenticate()",
                 "preview": "User model authentication method.\nQueries database for user credentials\nand handles account status checks.",
                 "score": "0.82"
+            },
+            {
+                "file": "auth/tokens.py",
+                "function": "generate_jwt_token()",
+                "preview": "Generate JWT authentication tokens.\nIncludes expiration, claims, and signature.\nSupports refresh and access token types.",
+                "score": "0.79"
+            },
+            {
+                "file": "utils/security.py",
+                "function": "hash_password()",
+                "preview": "Secure password hashing utility.\nUses bcrypt with configurable rounds.\nProvides salt generation and validation.",
+                "score": "0.76"
+            },
+            {
+                "file": "config/auth_settings.py",
+                "function": "load_auth_config()",
+                "preview": "Load authentication configuration.\nHandles JWT secrets, token expiration,\nand authentication provider settings.",
+                "score": "0.73"
             }
         ]
         

rag-mini-enhanced

@@ -60,7 +60,7 @@ similar_search() {
     echo "🔄 Finding similar patterns to: '$query'"
     # Use semantic search with pattern-focused terms
     pattern_query="similar to $query OR like $query OR pattern $query"
-    "$PYTHON" "$SCRIPT_DIR/rag-mini.py" search "$project_path" "$pattern_query" --limit 5
+    "$PYTHON" "$SCRIPT_DIR/rag-mini.py" search "$project_path" "$pattern_query" --limit 10
 }
 
 # Smart indexing with optimizations

rag-mini.py

@@ -18,6 +18,7 @@ sys.path.insert(0, str(Path(__file__).parent))
 from claude_rag.indexer import ProjectIndexer
 from claude_rag.search import CodeSearcher
 from claude_rag.ollama_embeddings import OllamaEmbedder
+from claude_rag.llm_synthesizer import LLMSynthesizer
 
 # Configure logging for user-friendly output
 logging.basicConfig(
@@ -71,7 +72,7 @@ def index_project(project_path: Path, force: bool = False):
         print(f"   Use --verbose for details")
         sys.exit(1)
 
-def search_project(project_path: Path, query: str, limit: int = 5):
+def search_project(project_path: Path, query: str, limit: int = 10, synthesize: bool = False):
     """Search a project directory."""
     try:
         # Check if indexed first
@@ -123,6 +124,21 @@ def search_project(project_path: Path, query: str, limit: int = 5):
             
             print()
         
+        # LLM Synthesis if requested
+        if synthesize:
+            print("🧠 Generating LLM synthesis...")
+            synthesizer = LLMSynthesizer()
+            
+            if synthesizer.is_available():
+                synthesis = synthesizer.synthesize_search_results(query, results, project_path)
+                print()
+                print(synthesizer.format_synthesis_output(synthesis, query))
+            else:
+                print("❌ LLM synthesis unavailable")
+                print("   • Ensure Ollama is running: ollama serve")
+                print("   • Install a model: ollama pull llama3.2")
+                print("   • Check connection to http://localhost:11434")
+        
         # Save last search for potential enhancements
         try:
             (rag_dir / 'last_search').write_text(query)
@@ -222,9 +238,10 @@ def main():
         formatter_class=argparse.RawDescriptionHelpFormatter,
         epilog="""
 Examples:
-  rag-mini index /path/to/project          # Index a project
+  rag-mini index /path/to/project              # Index a project
-  rag-mini search /path/to/project "query" # Search indexed project
+  rag-mini search /path/to/project "query"     # Search indexed project  
-  rag-mini status /path/to/project         # Show status
+  rag-mini search /path/to/project "query" -s  # Search with LLM synthesis
+  rag-mini status /path/to/project             # Show status
         """
     )
     
@@ -236,10 +253,12 @@ Examples:
                        help='Search query (for search command)')
     parser.add_argument('--force', action='store_true',
                        help='Force reindex all files')
-    parser.add_argument('--limit', type=int, default=5,
+    parser.add_argument('--limit', type=int, default=10,
                        help='Maximum number of search results')
     parser.add_argument('--verbose', '-v', action='store_true',
                        help='Enable verbose logging')
+    parser.add_argument('--synthesize', '-s', action='store_true',
+                       help='Generate LLM synthesis of search results (requires Ollama)')
     
     args = parser.parse_args()
     
@@ -263,7 +282,7 @@ Examples:
         if not args.query:
             print("❌ Search query required")
             sys.exit(1)
-        search_project(args.project_path, args.query, args.limit)
+        search_project(args.project_path, args.query, args.limit, args.synthesize)
     elif args.command == 'status':
         status_check(args.project_path)
 

rag-tui.py

@@ -285,14 +285,14 @@ class SimpleTUI:
         
         # Get result limit
         try:
-            limit = int(self.get_input("Number of results", "5"))
+            limit = int(self.get_input("Number of results", "10"))
             limit = max(1, min(20, limit))  # Clamp between 1-20
         except ValueError:
-            limit = 5
+            limit = 10
         
         # Show CLI command
         cli_cmd = f"./rag-mini search {self.project_path} \"{query}\""
-        if limit != 5:
+        if limit != 10:
             cli_cmd += f" --limit {limit}"
         
         self.print_cli_command(cli_cmd, "Search for semantic matches")