CORE AI
Technical deep dives into our AI frameworks, open-source modules, and implementation patterns
Featured: Fabric Vision Open Source
Deep dive into our computer vision framework built on OpenCV, with real-time processing capabilities and production-ready components.
Read Full ArticleCore AI Components
Knowledge & RAG
Advanced retrieval-augmented generation with chunking strategies, embedding optimization, and evaluation frameworks.
- • Semantic chunking algorithms
- • Multi-modal embeddings
- • Retrieval evaluation metrics
- • Context optimization
Computer Vision
Production-ready vision processing with real-time capabilities, object detection, and image enhancement pipelines.
- • Real-time object detection
- • Image enhancement filters
- • Video processing pipelines
- • Custom model training
Distributed Computing
Scalable AI workload distribution with automatic load balancing, fault tolerance, and resource optimization.
- • Auto-scaling clusters
- • Task queue management
- • GPU orchestration
- • Performance monitoring
Model Providers
Unified interfaces for AI models, vector databases, storage systems, and observability platforms.
- • Multi-provider abstraction
- • Automatic failover
- • Cost optimization
- • Usage analytics
Implementation Patterns
Microservices Architecture
Containerized AI services with independent scaling and deployment capabilities.
Event-Driven Processing
Asynchronous AI workflows with message queues and event streaming.
Multi-Modal Integration
Combining text, vision, and audio AI models in unified processing pipelines.
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