Simor Consulting
Technical Guides
AI Data Engineering Guides
Explore our collection of detailed technical guides designed to help you implement and optimize specific AI data engineering solutions with best practices and real-world examples.
Implementing Vector Search for RAG
Step-by-step guide to implementing efficient vector search for retrieval-augmented generation applications with performance optimization techniques and best practices.
Real-time Feature Engineering
Comprehensive tutorial on implementing real-time feature engineering pipelines for machine learning applications with streaming data sources and low-latency serving requirements.
LLM Evaluation Framework
Guide to building a comprehensive evaluation framework for large language models that measures performance across multiple dimensions including accuracy, relevance, and hallucination metrics.
Prompt Engineering for Enterprise Applications
Detailed guide on advanced prompt engineering techniques for enterprise LLM applications, covering structured prompting, few-shot learning, and domain-specific optimization.