About Graphbank API
A powerful search API designed to revolutionize how applications discover and interact with graph-based data, questions, and collections through intelligent natural language processing.
Our Mission
Making intelligent search accessible to every application
We believe that every application deserves powerful, intelligent search capabilities. Our API combines cutting-edge natural language processing with high-performance vector search to deliver results that understand context, intent, and meaning.
Core Capabilities
Built for modern applications
Our API provides a comprehensive suite of search capabilities designed to handle the complex requirements of modern applications.
- Natural Language Processing
- Advanced NLP capabilities that understand context and intent in search queries.
- Vector Search
- High-dimensional vector search for semantic similarity and content discovery.
- Real-time Performance
- Optimized for sub-second response times with intelligent caching and indexing.
- Secure Authentication
- Multiple authentication methods including JWT tokens and API keys for different use cases.
- Analytics & Insights
- Built-in analytics to track search performance and user behavior patterns.
- Global Scalability
- Designed to handle millions of queries with distributed architecture and CDN support.
Use Cases
Applications that benefit from intelligent search
Our API is designed to enhance a wide variety of applications with powerful search capabilities.
- Educational Platforms
Power intelligent search across educational content, course materials, and learning resources.
Examples:
- Course search
- Study material discovery
- Question-answer matching
- Content Management Systems
Enable sophisticated content discovery and recommendation systems.
Examples:
- Document search
- Media library search
- Content recommendations
- E-commerce Applications
Enhance product discovery with semantic search and intelligent filtering.
Examples:
- Product search
- Category browsing
- Related item suggestions
- Research & Analytics
Support research applications with powerful data exploration and analysis tools.
Examples:
- Research paper search
- Data exploration
- Trend analysis
Technology Stack
Built with modern technologies
Our API is built on a robust, scalable architecture using cutting-edge technologies to ensure performance, reliability, and ease of integration.
Backend
- • Node.js with TypeScript
- • GraphQL API
- • PostgreSQL with full-text search
- • Redis for caching
- • Vector embeddings with ONNX
AI & ML
- • Natural Language Processing
- • Vector similarity search
- • Semantic understanding
- • Context-aware ranking
- • Continuous learning
Infrastructure
- • Docker containerization
- • Kubernetes orchestration
- • CDN for global distribution
- • Monitoring & analytics
- • Auto-scaling capabilities
Performance
Built for scale and speed
Our API is optimized for high-performance applications with sub-second response times and the ability to handle millions of queries.