LLM, MCP, and RAG field guide targets AI engineers

This item is a comprehensive field guide for engineers focused on Large Language Models (LLMs), the Model Context Protocol (MCP), and Retrieval-Augmented Generation (RAG). It is designed for professionals in AI engineering, testing, and operations who need practical, hands-on knowledge for production environments. The guide covers essential topics such as enterprise AI architecture, prompt engineering, vector databases, AI testing, LLMOps, and security, offering actionable insights and Q&A sections to solidify understanding. AI

IMPACT Provides practical guidance for engineers building and operating AI systems in production.

RANK_REASON This item is a practical guide and learning resource, not a new release or significant industry event.

Read on dev.to — MCP tag →

• Agentic Ai
• AI engineers
• AI Testing
• automation engineers
• engineering managers
• Hallucination Testing
• large language model
• Large Language Models
• LLMOps
• Model Context Protocol
• prompt engineering
• QA engineers
• Retrieval-Augmented Generation
• SDETs
• test architects
• transformers
• Vector Databases

• product
• other

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →