Designing a Production-Oriented RAG System for Technical Documentation

Large Language Models are incredibly powerful, but they have a major limitation: They do not inherently know your infrastructure, your internal documentation, your deployment standards, or your engineering workflows. Generic LLMs can explain concepts like Docker, Terraform, or NGINX at a broad level, but when building real engineering systems, broad knowledge is not enough. Engineering teams need: accurate retrieval, contextual understanding, domain-specific responses, conversational continuity, and reliable citations.