update the readme file

README.md

@@ -20,6 +20,7 @@ This platform showcases how MCP can power intelligent, governed, multi-tenant AI
 
 - 🤖 **Autonomous Multi-Step MCP Agents** – Intelligent tool-aware agent that plans and executes multi-step workflows across RAG, Web, Admin, and LLM tools with memory of previous tool outputs
 - 📚 **Enhanced Knowledge Base Management** – Upload raw text, URLs, or documents (PDF/DOCX/TXT/MD) with rich metadata (source URL, timestamp, document type) and optimized chunking (400-600 tokens)
+- 🔍 **Optimized RAG Search** – Semantic search with configurable similarity threshold (default 0.3) for better recall, with fallback to return top results even if below threshold
 - 🗑️ **Document Management** – Delete individual documents or bulk delete all documents for a tenant with confirmation dialogs
 - 🛡️ **Enterprise Admin Governance** – Regex-based red-flag pattern matching with severity levels (low/medium/high/critical) and automatic admin alerts
 - 📊 **Comprehensive Analytics & Observability** – Full tenant-level analytics logging with SQLite backend:
@@ -248,6 +249,12 @@ This project is licensed under the MIT License - see the [LICENSE](LICENSE) file
 - Documents can be listed and deleted consistently across different tenant_id formats
 - All operations validate tenant ownership before execution
 
+### RAG Search & Retrieval
+- **Optimized similarity threshold** (default 0.3) for better recall of relevant documents
+- **Intelligent fallback** returns top result even if below threshold to ensure knowledge base content is accessible
+- **Pattern-based tool selection** automatically triggers RAG for admin questions, fact lookups, and internal knowledge queries
+- **Response unwrapping** ensures seamless integration between MCP server and orchestrator
+
 ### MCP Server Architecture
 - **Unified server** running on a single port (default 8900) for all namespaced tools
 - **Dual protocol support**: Both MCP protocol (POST with JSON) and RESTful HTTP (GET/DELETE)