The article presents ten reference architectures for AI projects, designed to be vendor-neutral and easily understandable. These diagrams illustrate common patterns such as Retrieval-Augmented Generation (RAG) with basic or advanced search capabilities, AI agents interacting with Model Context Protocol (MCP) servers, multi-agent systems with orchestrators and workers, and LLM gateways for managing model calls and costs. The architectures also incorporate guardrails for input and output validation, and human-in-the-loop processes for critical actions. AI
IMPACT Provides developers with reusable blueprints for common AI system components like RAG and agents, accelerating project development.
RANK_REASON The article provides practical, reusable architectural patterns for AI systems, functioning as a guide or toolkit for developers.
- BM25
- guard rail
- AI agent
- Mcp Server
- Model Context Protocol
- retrieval-augmented generation
- vector database
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