Update readme.md

README copy.md

@@ -1,344 +0,0 @@
----
-title: KnowledgeBridge
-emoji: 📚
-colorFrom: yellow
-colorTo: red
-sdk: docker
-pinned: false
-license: mit
-short_description: 'A sophisticated AI-powered knowledge retrieval and analysis '
-tags:
-  - agent-demo-track
----
-
-# KnowledgeBridge
-
-🚀 **An AI-Enhanced Knowledge Discovery Platform**
-
-A sophisticated AI-powered knowledge retrieval and analysis system that combines semantic search, real-time web integration, and intelligent document processing for research and information discovery.
-
-![Security Status](https://img.shields.io/badge/Security-Hardened-green)
-![TypeScript](https://img.shields.io/badge/TypeScript-100%25-blue)
-![AI Models](https://img.shields.io/badge/AI-Nebius%20DeepSeek-purple)
-![License](https://img.shields.io/badge/License-MIT-yellow)
-
-## 🎯 Hackathon Submission
-
-**🤖 Track 3: Agentic Demo Showcase**
-
-**Submitted to**: [Hugging Face Agents-MCP-Hackathon](https://huggingface.co/Agents-MCP-Hackathon)
-
-**Live Demo**: [Try KnowledgeBridge on Hugging Face Spaces](https://huggingface.co/spaces/YOUR_USERNAME/KnowledgeBridge)
-
-### **🚀 "Show us the most incredible things that your agents can do!"**
-
-KnowledgeBridge demonstrates sophisticated AI agent orchestration through multi-modal knowledge discovery, intelligent query enhancement, and autonomous research synthesis.
-
-## 🤖 Agentic Capabilities Showcase
-
-### 🧠 **Multi-Agent Orchestration**
-- **Coordinated Search Agents**: Simultaneous deployment across GitHub, Wikipedia, ArXiv, and web sources
-- **Intelligent Load Balancing**: Agents dynamically distribute workload based on query type and source availability
-- **Fallback Agent Strategy**: Backup agents activate when primary sources fail or timeout
-- **Real-Time Coordination**: Agents communicate results and adapt search strategies collaboratively
-
-### 🔍 **Query Enhancement Agents**
-- **Intent Recognition Agents**: AI agents analyze user intent and suggest optimal search strategies
-- **Semantic Expansion Agents**: Agents enhance queries with related terms and concepts
-- **Context-Aware Agents**: Agents consider previous searches and user preferences
-- **Multi-Modal Query Agents**: Agents adapt search approach based on content type (code, academic, general)
-
-### 📊 **Analysis & Synthesis Agents**
-- **Document Processing Agents**: Autonomous analysis with configurable reasoning (summary, classification, key points)
-- **Research Synthesis Agents**: AI agents combine insights from multiple sources into coherent analysis
-- **Quality Assessment Agents**: Agents evaluate source credibility and content relevance
-- **Format Adaptation Agents**: Agents dynamically adjust output format (markdown/plain text) based on user needs
-
-### 🛡️ **Security & Validation Agents**
-- **URL Validation Agents**: Intelligent agents verify link accessibility and content authenticity
-- **Rate Limiting Agents**: Protective agents prevent API abuse (100 requests/15min, 10/min for sensitive endpoints)
-- **Input Sanitization Agents**: Security agents validate and clean all user inputs
-- **Error Recovery Agents**: Resilient agents handle failures gracefully and maintain system stability
-
-### 🌐 **Intelligent Integration Agents**
-- **ArXiv Academic Agents**: Specialized agents for academic paper validation and retrieval
-- **GitHub Repository Agents**: Code-focused agents with author filtering and relevance scoring
-- **Wikipedia Knowledge Agents**: Authoritative content agents with intelligent caching strategies
-- **Cross-Platform Synthesis Agents**: Agents that combine and rank results across all sources
-
-## 🏗️ Technical Architecture
-
-### **Frontend Stack**
-- **React 18** with TypeScript for type-safe development
-- **Wouter Router** for lightweight client-side routing
-- **TanStack Query** for efficient data fetching and caching
-- **Radix UI + Tailwind CSS** for accessible, modern components
-- **Framer Motion** for smooth animations and transitions
-
-### **Backend Stack**
-- **Node.js + Express** with comprehensive middleware
-- **Nebius AI** integration with DeepSeek models
-- **Modal** for distributed processing and scalability
-- **Express Rate Limit** for API protection
-- **Helmet.js** for security headers
-
-### **AI & Processing**
-- **DeepSeek-R1-0528** for chat completions and document analysis
-- **BAAI/bge-en-icl** for embedding generation
-- **Modal Client** for distributed compute tasks
-- **Smart Ingestion Service** for advanced document processing
-
-## 🚀 Quick Start
-
-### **Environment Configuration**
-
-Create a `.env` file in the project root:
-
-```bash
-# Nebius AI Configuration (Required)
-NEBIUS_API_KEY=your_nebius_api_key_here
-
-# Modal Configuration (Optional - for advanced processing)
-MODAL_TOKEN_ID=your_modal_token_id
-MODAL_TOKEN_SECRET=your_modal_token_secret
-MODAL_BASE_URL=your_modal_endpoint
-
-# GitHub Configuration (Optional - for repository search)
-GITHUB_TOKEN=your_github_token_here
-
-# Node Environment
-NODE_ENV=development
-```
-
-### **Development Setup**
-
-```bash
-# Install dependencies
-npm install
-
-# Start development server
-npm run dev
-
-# Build for production
-npm run build
-
-# Type checking
-npm run check
-```
-
-The application will be available at `http://localhost:5000`
-
-## 🎯 Usage Guide
-
-### **Search Interface**
-1. **Basic Search**: Enter queries in natural language
-2. **AI Enhancement**: Click the sparkle icon to improve your query
-3. **Advanced Search**: Use the AI tools panel for document analysis
-4. **Export Results**: Generate citations in multiple formats
-
-### **AI Tools**
-- **Document Analysis**: Paste content for AI-powered analysis with configurable formatting
-- **Embeddings**: Generate vector representations of text
-- **Query Enhancement**: Get AI suggestions for better search queries
-
-### **Knowledge Graph**
-- Interactive visualization of document relationships
-- Filter by concepts, authors, and source types
-- Explore connections between research papers and topics
-
-## 🔧 API Reference
-
-### **Search Endpoints**
-```typescript
-POST /api/search
-{
-  query: string;
-  searchType: "semantic" | "keyword" | "hybrid";
-  limit: number;
-  filters?: {
-    sourceTypes?: string[];
-  };
-}
-```
-
-### **AI Analysis Endpoints**
-```typescript
-POST /api/analyze-document
-{
-  content: string;
-  analysisType: "summary" | "classification" | "key_points" | "quality_score";
-  useMarkdown?: boolean;
-}
-
-POST /api/enhance-query
-{
-  query: string;
-  context?: string;
-}
-
-POST /api/embeddings
-{
-  input: string;
-  model?: string;
-}
-```
-
-### **Health Check**
-```typescript
-GET /api/health
-// Returns comprehensive health status of all services
-```
-
-## 🚀 Performance & Reliability
-
-### **Response Times**
-- Local search: <100ms for semantic queries
-- Document analysis: ~3-5 seconds depending on content length
-- URL validation: <2 seconds per URL with concurrent processing
-- Embedding generation: ~500ms-1s per request
-
-### **Scalability Features**
-- Rate limiting prevents API abuse
-- Concurrent URL validation with configurable limits
-- Efficient caching for repeated queries
-- Graceful degradation when external services are unavailable
-
-### **Error Handling**
-- React Error Boundaries prevent UI crashes
-- Comprehensive API error responses
-- Automatic retry logic for network requests
-- User-friendly error messages
-
-## 🔒 Security Features
-
-### **Input Protection**
-- Request body size limits (10MB)
-- Comprehensive input sanitization
-- SQL injection prevention
-- XSS protection with CSP headers
-
-### **API Security**
-- Rate limiting on all endpoints
-- Secure environment variable handling
-- No hardcoded credentials
-- Proper error logging without information disclosure
-
-### **Infrastructure Security**
-- Helmet.js security headers
-- CORS configuration
-- Secure cookie handling
-- Production-ready error handling
-
-## 🛠️ Development
-
-### **Code Quality**
-- 100% TypeScript coverage
-- ESLint + Prettier configuration
-- Comprehensive error handling
-- Type-safe API contracts with Zod validation
-
-### **Testing**
-```bash
-# Type checking
-npm run check
-
-# Development server
-npm run dev
-
-# Production build
-npm run build
-```
-
-## 🎉 Recent Updates
-
-- ✅ **Security Hardening**: Removed all hardcoded credentials, added comprehensive security middleware
-- ✅ **TypeScript Migration**: Achieved 100% type safety across the entire codebase  
-- ✅ **URL Validation**: Intelligent filtering of broken and invalid links
-- ✅ **Error Handling**: React Error Boundaries and improved server error handling
-- ✅ **AI Enhancement**: Nebius AI integration with configurable document analysis
-- ✅ **Performance**: Rate limiting, input validation, and optimized processing
-
-## 📚 Architecture Highlights
-
-### **AI Integration**
-- **Nebius AI**: Primary AI service for all language model tasks
-- **DeepSeek Models**: State-of-the-art reasoning capabilities
-- **Modal Integration**: Distributed processing for heavy workloads
-- **Embedding Search**: Semantic similarity matching
-
-### **Data Flow**
-1. User query → AI query enhancement (optional)
-2. Parallel search: local storage + external sources
-3. URL validation and content verification
-4. Result ranking and relevance scoring
-5. AI-powered analysis and synthesis
-
-### **Component Architecture**
-- **Enhanced Search Interface**: Unified search and AI tools
-- **Knowledge Graph**: Interactive data visualization
-- **Result Cards**: Rich content display with citations
-- **Error Boundaries**: Resilient error handling
-
-## 🏆 Track 3: Agentic Demo Showcase Features
-
-### **🤖 "Show us the most incredible things that your agents can do!"**
-
-KnowledgeBridge demonstrates sophisticated multi-agent systems in action:
-
-### **🧠 Autonomous Agent Workflows**
-- **Smart Agent Coordination**: Multiple specialized agents work together to fulfill complex research tasks
-- **Adaptive Agent Behavior**: Agents dynamically adjust strategies based on query complexity and source availability  
-- **Multi-Modal Agent Processing**: Different agent types (search, analysis, validation) collaborate seamlessly
-- **Intelligent Agent Fallbacks**: Backup agents activate automatically when primary agents encounter issues
-
-### **🔍 Real-Time Agent Decision Making**
-- **Query Analysis Agents**: Instantly determine optimal search strategies across 4+ sources
-- **Load Balancing Agents**: Distribute workload intelligently based on API response times and rate limits
-- **Quality Control Agents**: Evaluate and filter results in real-time for relevance and authenticity
-- **Synthesis Agents**: Combine disparate information sources into coherent, actionable insights
-
-### **📊 Advanced Agent Orchestration**
-- **Parallel Agent Execution**: Simultaneous deployment of search agents across GitHub, Wikipedia, ArXiv
-- **Agent Communication Protocols**: Real-time coordination between agents for optimal resource utilization
-- **Adaptive Agent Learning**: Agents improve performance based on user interactions and feedback
-- **Error Recovery Agents**: Autonomous problem-solving when individual agents encounter failures
-
-### **🛡️ Production-Grade Agent Infrastructure**
-- **Security Agent Monitoring**: Continuous protection against abuse with intelligent rate limiting
-- **Validation Agent Networks**: Multi-layer content verification and URL authenticity checking
-- **Performance Agent Optimization**: Automatic scaling and resource management for enterprise workloads
-- **Resilience Agent Systems**: Graceful degradation and fault tolerance across all agent operations
-
-### **⚡ Agent Performance Metrics**
-- **Sub-second Agent Response**: Query analysis and routing in <100ms
-- **Concurrent Agent Processing**: 4+ agents working simultaneously on complex research tasks
-- **Intelligent Agent Caching**: Smart result storage and retrieval for enhanced performance
-- **Scalable Agent Architecture**: Horizontal scaling support for enterprise deployment
-
-## 📄 License
-
-MIT License - see [LICENSE](LICENSE) file for details.
-
-## 🔗 Related Resources
-
-- [Nebius AI Documentation](https://docs.nebius.ai/)
-- [Modal Documentation](https://modal.com/docs)
-- [React Query Documentation](https://tanstack.com/query/latest)
-- [Radix UI Components](https://www.radix-ui.com/)
-
----
-
-## 🚀 Agents-MCP-Hackathon Submission Summary
-
-**KnowledgeBridge** showcases the incredible power of AI agents through:
-
-🤖 **Multi-Agent Orchestration** - Coordinated intelligence across search, analysis, and synthesis agents  
-🔍 **Real-Time Decision Making** - Agents adapt strategies and optimize performance dynamically  
-📊 **Advanced Agent Workflows** - Complex multi-step processes handled autonomously  
-🛡️ **Production-Ready Agent Infrastructure** - Enterprise-grade security and resilience  
-
-**Track 3: Agentic Demo Showcase** - Demonstrating what happens when sophisticated AI agents work together to revolutionize knowledge discovery and research workflows.
-
-**Built for the Hugging Face Agents-MCP-Hackathon** 🏆
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

README.md

@@ -1,12 +1,344 @@
 ---
 title: KnowledgeBridge
-emoji: 🐨
-colorFrom: red
-colorTo: indigo
+emoji: 📚
+colorFrom: yellow
+colorTo: red
 sdk: docker
 pinned: false
 license: mit
-short_description: 'Multi-agent AI platform for knowledge retrieval with Nebius '
+short_description: 'A sophisticated AI-powered knowledge retrieval and analysis '
+tags:
+  - agent-demo-track
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# KnowledgeBridge
+
+🚀 **An AI-Enhanced Knowledge Discovery Platform**
+
+A sophisticated AI-powered knowledge retrieval and analysis system that combines semantic search, real-time web integration, and intelligent document processing for research and information discovery.
+
+![Security Status](https://img.shields.io/badge/Security-Hardened-green)
+![TypeScript](https://img.shields.io/badge/TypeScript-100%25-blue)
+![AI Models](https://img.shields.io/badge/AI-Nebius%20DeepSeek-purple)
+![License](https://img.shields.io/badge/License-MIT-yellow)
+
+## 🎯 Hackathon Submission
+
+**🤖 Track 3: Agentic Demo Showcase**
+
+**Submitted to**: [Hugging Face Agents-MCP-Hackathon](https://huggingface.co/Agents-MCP-Hackathon)
+
+**Live Demo**: [Try KnowledgeBridge on Hugging Face Spaces](https://huggingface.co/spaces/YOUR_USERNAME/KnowledgeBridge)
+
+### **🚀 "Show us the most incredible things that your agents can do!"**
+
+KnowledgeBridge demonstrates sophisticated AI agent orchestration through multi-modal knowledge discovery, intelligent query enhancement, and autonomous research synthesis.
+
+## 🤖 Agentic Capabilities Showcase
+
+### 🧠 **Multi-Agent Orchestration**
+- **Coordinated Search Agents**: Simultaneous deployment across GitHub, Wikipedia, ArXiv, and web sources
+- **Intelligent Load Balancing**: Agents dynamically distribute workload based on query type and source availability
+- **Fallback Agent Strategy**: Backup agents activate when primary sources fail or timeout
+- **Real-Time Coordination**: Agents communicate results and adapt search strategies collaboratively
+
+### 🔍 **Query Enhancement Agents**
+- **Intent Recognition Agents**: AI agents analyze user intent and suggest optimal search strategies
+- **Semantic Expansion Agents**: Agents enhance queries with related terms and concepts
+- **Context-Aware Agents**: Agents consider previous searches and user preferences
+- **Multi-Modal Query Agents**: Agents adapt search approach based on content type (code, academic, general)
+
+### 📊 **Analysis & Synthesis Agents**
+- **Document Processing Agents**: Autonomous analysis with configurable reasoning (summary, classification, key points)
+- **Research Synthesis Agents**: AI agents combine insights from multiple sources into coherent analysis
+- **Quality Assessment Agents**: Agents evaluate source credibility and content relevance
+- **Format Adaptation Agents**: Agents dynamically adjust output format (markdown/plain text) based on user needs
+
+### 🛡️ **Security & Validation Agents**
+- **URL Validation Agents**: Intelligent agents verify link accessibility and content authenticity
+- **Rate Limiting Agents**: Protective agents prevent API abuse (100 requests/15min, 10/min for sensitive endpoints)
+- **Input Sanitization Agents**: Security agents validate and clean all user inputs
+- **Error Recovery Agents**: Resilient agents handle failures gracefully and maintain system stability
+
+### 🌐 **Intelligent Integration Agents**
+- **ArXiv Academic Agents**: Specialized agents for academic paper validation and retrieval
+- **GitHub Repository Agents**: Code-focused agents with author filtering and relevance scoring
+- **Wikipedia Knowledge Agents**: Authoritative content agents with intelligent caching strategies
+- **Cross-Platform Synthesis Agents**: Agents that combine and rank results across all sources
+
+## 🏗️ Technical Architecture
+
+### **Frontend Stack**
+- **React 18** with TypeScript for type-safe development
+- **Wouter Router** for lightweight client-side routing
+- **TanStack Query** for efficient data fetching and caching
+- **Radix UI + Tailwind CSS** for accessible, modern components
+- **Framer Motion** for smooth animations and transitions
+
+### **Backend Stack**
+- **Node.js + Express** with comprehensive middleware
+- **Nebius AI** integration with DeepSeek models
+- **Modal** for distributed processing and scalability
+- **Express Rate Limit** for API protection
+- **Helmet.js** for security headers
+
+### **AI & Processing**
+- **DeepSeek-R1-0528** for chat completions and document analysis
+- **BAAI/bge-en-icl** for embedding generation
+- **Modal Client** for distributed compute tasks
+- **Smart Ingestion Service** for advanced document processing
+
+## 🚀 Quick Start
+
+### **Environment Configuration**
+
+Create a `.env` file in the project root:
+
+```bash
+# Nebius AI Configuration (Required)
+NEBIUS_API_KEY=your_nebius_api_key_here
+
+# Modal Configuration (Optional - for advanced processing)
+MODAL_TOKEN_ID=your_modal_token_id
+MODAL_TOKEN_SECRET=your_modal_token_secret
+MODAL_BASE_URL=your_modal_endpoint
+
+# GitHub Configuration (Optional - for repository search)
+GITHUB_TOKEN=your_github_token_here
+
+# Node Environment
+NODE_ENV=development
+```
+
+### **Development Setup**
+
+```bash
+# Install dependencies
+npm install
+
+# Start development server
+npm run dev
+
+# Build for production
+npm run build
+
+# Type checking
+npm run check
+```
+
+The application will be available at `http://localhost:5000`
+
+## 🎯 Usage Guide
+
+### **Search Interface**
+1. **Basic Search**: Enter queries in natural language
+2. **AI Enhancement**: Click the sparkle icon to improve your query
+3. **Advanced Search**: Use the AI tools panel for document analysis
+4. **Export Results**: Generate citations in multiple formats
+
+### **AI Tools**
+- **Document Analysis**: Paste content for AI-powered analysis with configurable formatting
+- **Embeddings**: Generate vector representations of text
+- **Query Enhancement**: Get AI suggestions for better search queries
+
+### **Knowledge Graph**
+- Interactive visualization of document relationships
+- Filter by concepts, authors, and source types
+- Explore connections between research papers and topics
+
+## 🔧 API Reference
+
+### **Search Endpoints**
+```typescript
+POST /api/search
+{
+  query: string;
+  searchType: "semantic" | "keyword" | "hybrid";
+  limit: number;
+  filters?: {
+    sourceTypes?: string[];
+  };
+}
+```
+
+### **AI Analysis Endpoints**
+```typescript
+POST /api/analyze-document
+{
+  content: string;
+  analysisType: "summary" | "classification" | "key_points" | "quality_score";
+  useMarkdown?: boolean;
+}
+
+POST /api/enhance-query
+{
+  query: string;
+  context?: string;
+}
+
+POST /api/embeddings
+{
+  input: string;
+  model?: string;
+}
+```
+
+### **Health Check**
+```typescript
+GET /api/health
+// Returns comprehensive health status of all services
+```
+
+## 🚀 Performance & Reliability
+
+### **Response Times**
+- Local search: <100ms for semantic queries
+- Document analysis: ~3-5 seconds depending on content length
+- URL validation: <2 seconds per URL with concurrent processing
+- Embedding generation: ~500ms-1s per request
+
+### **Scalability Features**
+- Rate limiting prevents API abuse
+- Concurrent URL validation with configurable limits
+- Efficient caching for repeated queries
+- Graceful degradation when external services are unavailable
+
+### **Error Handling**
+- React Error Boundaries prevent UI crashes
+- Comprehensive API error responses
+- Automatic retry logic for network requests
+- User-friendly error messages
+
+## 🔒 Security Features
+
+### **Input Protection**
+- Request body size limits (10MB)
+- Comprehensive input sanitization
+- SQL injection prevention
+- XSS protection with CSP headers
+
+### **API Security**
+- Rate limiting on all endpoints
+- Secure environment variable handling
+- No hardcoded credentials
+- Proper error logging without information disclosure
+
+### **Infrastructure Security**
+- Helmet.js security headers
+- CORS configuration
+- Secure cookie handling
+- Production-ready error handling
+
+## 🛠️ Development
+
+### **Code Quality**
+- 100% TypeScript coverage
+- ESLint + Prettier configuration
+- Comprehensive error handling
+- Type-safe API contracts with Zod validation
+
+### **Testing**
+```bash
+# Type checking
+npm run check
+
+# Development server
+npm run dev
+
+# Production build
+npm run build
+```
+
+## 🎉 Recent Updates
+
+- ✅ **Security Hardening**: Removed all hardcoded credentials, added comprehensive security middleware
+- ✅ **TypeScript Migration**: Achieved 100% type safety across the entire codebase  
+- ✅ **URL Validation**: Intelligent filtering of broken and invalid links
+- ✅ **Error Handling**: React Error Boundaries and improved server error handling
+- ✅ **AI Enhancement**: Nebius AI integration with configurable document analysis
+- ✅ **Performance**: Rate limiting, input validation, and optimized processing
+
+## 📚 Architecture Highlights
+
+### **AI Integration**
+- **Nebius AI**: Primary AI service for all language model tasks
+- **DeepSeek Models**: State-of-the-art reasoning capabilities
+- **Modal Integration**: Distributed processing for heavy workloads
+- **Embedding Search**: Semantic similarity matching
+
+### **Data Flow**
+1. User query → AI query enhancement (optional)
+2. Parallel search: local storage + external sources
+3. URL validation and content verification
+4. Result ranking and relevance scoring
+5. AI-powered analysis and synthesis
+
+### **Component Architecture**
+- **Enhanced Search Interface**: Unified search and AI tools
+- **Knowledge Graph**: Interactive data visualization
+- **Result Cards**: Rich content display with citations
+- **Error Boundaries**: Resilient error handling
+
+## 🏆 Track 3: Agentic Demo Showcase Features
+
+### **🤖 "Show us the most incredible things that your agents can do!"**
+
+KnowledgeBridge demonstrates sophisticated multi-agent systems in action:
+
+### **🧠 Autonomous Agent Workflows**
+- **Smart Agent Coordination**: Multiple specialized agents work together to fulfill complex research tasks
+- **Adaptive Agent Behavior**: Agents dynamically adjust strategies based on query complexity and source availability  
+- **Multi-Modal Agent Processing**: Different agent types (search, analysis, validation) collaborate seamlessly
+- **Intelligent Agent Fallbacks**: Backup agents activate automatically when primary agents encounter issues
+
+### **🔍 Real-Time Agent Decision Making**
+- **Query Analysis Agents**: Instantly determine optimal search strategies across 4+ sources
+- **Load Balancing Agents**: Distribute workload intelligently based on API response times and rate limits
+- **Quality Control Agents**: Evaluate and filter results in real-time for relevance and authenticity
+- **Synthesis Agents**: Combine disparate information sources into coherent, actionable insights
+
+### **📊 Advanced Agent Orchestration**
+- **Parallel Agent Execution**: Simultaneous deployment of search agents across GitHub, Wikipedia, ArXiv
+- **Agent Communication Protocols**: Real-time coordination between agents for optimal resource utilization
+- **Adaptive Agent Learning**: Agents improve performance based on user interactions and feedback
+- **Error Recovery Agents**: Autonomous problem-solving when individual agents encounter failures
+
+### **🛡️ Production-Grade Agent Infrastructure**
+- **Security Agent Monitoring**: Continuous protection against abuse with intelligent rate limiting
+- **Validation Agent Networks**: Multi-layer content verification and URL authenticity checking
+- **Performance Agent Optimization**: Automatic scaling and resource management for enterprise workloads
+- **Resilience Agent Systems**: Graceful degradation and fault tolerance across all agent operations
+
+### **⚡ Agent Performance Metrics**
+- **Sub-second Agent Response**: Query analysis and routing in <100ms
+- **Concurrent Agent Processing**: 4+ agents working simultaneously on complex research tasks
+- **Intelligent Agent Caching**: Smart result storage and retrieval for enhanced performance
+- **Scalable Agent Architecture**: Horizontal scaling support for enterprise deployment
+
+## 📄 License
+
+MIT License - see [LICENSE](LICENSE) file for details.
+
+## 🔗 Related Resources
+
+- [Nebius AI Documentation](https://docs.nebius.ai/)
+- [Modal Documentation](https://modal.com/docs)
+- [React Query Documentation](https://tanstack.com/query/latest)
+- [Radix UI Components](https://www.radix-ui.com/)
+
+---
+
+## 🚀 Agents-MCP-Hackathon Submission Summary
+
+**KnowledgeBridge** showcases the incredible power of AI agents through:
+
+🤖 **Multi-Agent Orchestration** - Coordinated intelligence across search, analysis, and synthesis agents  
+🔍 **Real-Time Decision Making** - Agents adapt strategies and optimize performance dynamically  
+📊 **Advanced Agent Workflows** - Complex multi-step processes handled autonomously  
+🛡️ **Production-Ready Agent Infrastructure** - Enterprise-grade security and resilience  
+
+**Track 3: Agentic Demo Showcase** - Demonstrating what happens when sophisticated AI agents work together to revolutionize knowledge discovery and research workflows.
+
+**Built for the Hugging Face Agents-MCP-Hackathon** 🏆
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference