Simor Consulting
Resources
AI Data Resources
Access our collection of resources to help you design, build, and maintain production-grade AI data infrastructure.
LLM RAG Architecture with Vector Search
Production-ready architecture for implementing retrieval-augmented generation (RAG) applications with vector search capabilities and comprehensive observability.
Real-time Feature Store Architecture
Scalable architecture for low-latency feature serving with online/offline consistency, versioning, and monitoring for production ML workloads.
Streaming Data Pipeline for ML
End-to-end streaming architecture optimized for machine learning use cases with real-time processing, transformation, and model serving capabilities.
Multi-Modal LLM Processing Architecture
Advanced architecture for processing images, text, and audio data through multi-modal LLMs with coordinated inference and optimized for production deployments.
Serverless AI Inference Platform
Cost-efficient serverless architecture for deploying and scaling AI models with automated scaling, monitoring, and governance controls.
Data Mesh for Distributed AI Teams
Data mesh implementation blueprint for organizations with distributed AI teams, enabling domain-oriented data ownership and self-service infrastructure.