Intellisoft - Intelligent Semantic Search Engine powered by Neural Networks
NeuralQuery is developed by Intellisoft - a forward-thinking technology company specializing in AI-powered solutions, enterprise software development, and cutting-edge digital transformation services.
NeuralQuery represents Intellisoft's commitment to innovation in search technology. This cutting-edge search engine uses advanced neural networks to understand search intent and deliver highly relevant results through semantic understanding rather than just keyword matching.
- Semantic Understanding: Comprehends context and meaning behind queries using Intellisoft's proprietary algorithms
- Neural Relevance Scoring: AI-powered confidence scoring for result accuracy
- Intent Recognition: Understands user search intent beyond literal keywords
- Real-time Search: Instant results with WebSocket support
- Hybrid Search: Combines semantic and traditional keyword search
- Scalable Architecture: Built for high-traffic enterprise environments
- Advanced Caching: Redis-powered performance optimization
- Custom ML Models: Proprietary neural networks trained on diverse datasets
- Vector Search: Advanced embedding-based similarity matching
- API-First Design: RESTful APIs with comprehensive documentation
- Security Focused: Enterprise-grade authentication and authorization
- Node.js & Express - High-performance server runtime
- MongoDB with Vector Search - Intelligent data storage
- Redis Cluster - Advanced caching layer
- Socket.io - Real-time communication
- JWT & OAuth - Enterprise security
- React 18 - Modern user interface framework
- Tailwind CSS - Intellisoft styled components
- Framer Motion - Smooth animations
- React Query - State-of-the-art data fetching
- Axios - Robust HTTP client
- PyTorch - Intellisoft's preferred ML framework
- Transformers - State-of-the-art NLP models
- Sentence Transformers - Advanced text embeddings
- Custom Neural Networks - Intellisoft proprietary models
- Node.js 18+ (LTS recommended)
- MongoDB 6+ with vector search support
- Redis 7+
- Python 3.8+ (for ML components)
-
Clone the Intellisoft Repository
git clone https://github.com/intellisoft/neuralquery.git cd neuralquery -
Install Dependencies using Intellisoft's setup
npm run install-all
-
Configure Environment Variables
cp .env.example .env # Configure with your Intellisoft deployment settings -
Start the Application
# Development mode npm run dev # Production deployment npm run docker:up
-
Initialize ML Models (Optional)
npm run ml:train
POST /api/search/semantic
Content-Type: application/json
Authorization: Bearer {token}
{
"query": "machine learning applications in healthcare",
"filters": {
"category": "technology",
"minRelevance": 0.8,
"dateRange": "past-month"
}
}{
"success": true,
"query": "machine learning applications in healthcare",
"results": [
{
"id": "doc_123",
"title": "AI Transforming Healthcare",
"content": "Machine learning algorithms are revolutionizing...",
"category": "technology",
"relevance": 0.92,
"confidence": 92,
"lastUpdated": "2024-01-15T10:30:00Z"
}
],
"total": 15,
"searchType": "semantic",
"timestamp": "2024-01-20T14:30:00Z"
}POST /api/documents
Content-Type: application/json
{
"title": "Intellisoft AI Research",
"content": "Latest research in neural networks and semantic search...",
"category": "research",
"tags": ["ai", "neural-networks", "search"],
"metadata": {
"author": "Intellisoft Research Team",
"department": "AI Innovation"
}
}# Server Configuration
NODE_ENV=production
PORT=5000
CLIENT_URL=https://your-domain.com
# Database (Intellisoft Production)
MONGODB_URI=mongodb://cluster.intellisoft.com:27017/neural-query
REDIS_URL=redis://redis-cluster.intellisoft.com:6379
# Security
JWT_SECRET=your-intellisoft-super-secure-key
JWT_EXPIRE=30d
# Neural Search Configuration
EMBEDDING_MODEL=intellisoft/all-MiniLM-L6-v2
VECTOR_DIMENSION=384
SIMILARITY_THRESHOLD=0.7# Build and deploy all services
docker-compose up -d --build
# Scale services
docker-compose up -d --scale server=3 --scale client=2
# Monitor deployment
docker-compose logs -f# Apply Intellisoft Kubernetes configurations
kubectl apply -f k8s/
# Monitor deployment
kubectl get pods -n neuralquery
kubectl logs -f deployment/neuralquery-serverIntellisoft maintains high-quality standards through comprehensive testing:
# Run complete test suite
npm test
# Backend API testing
cd server && npm test
# Frontend component testing
cd client && npm test
# E2E testing
npm run test:e2e
# Performance testing
npm run test:performanceIntellisoft's NeuralQuery delivers exceptional performance:
- ⚡ Search Response: < 200ms average
- 🎯 Relevance Accuracy: 94%+ precision
- 📊 Query Throughput: 1000+ queries/second
- 💾 Cache Hit Rate: 85%+ with Redis
- 🔍 Vector Search: Sub-second similarity matching
Intellisoft prioritizes security with:
- 🔑 JWT-based authentication
- 🛡️ Rate limiting and DDoS protection
- 🔒 Input sanitization and validation
- 📝 Comprehensive audit logging
- 🚫 SQL injection prevention
- 🔐 Role-based access control (RBAC)
We welcome contributions from the community! Please see our Contributing Guidelines for details.
- Fork the repository
- Create a feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
This project is licensed under the MIT License - see the LICENSE file for details.
NeuralQuery has been recognized for innovation in:
- AI-powered search technology
- Enterprise-grade scalability
- Developer-friendly APIs
- Comprehensive documentation
For enterprise clients and custom implementations, contact Intellisoft:
- 📧 Email: contact@intellisoft.in
- 🌐 Website: https://www.intellisoft.in
- 📖 Documentation: docs.intellisoft.com/neuralquery
- 💬 Discussions: GitHub Discussions
- 🐛 Issue Tracker: GitHub Issues
Intellisoft would like to thank:
- Our amazing clients and partners
- The open-source community
- Our dedicated development team
- Early adopters and beta testers
Built with ❤️ by Intellisoft
Transforming search through artificial intelligence