Automate RAG Testing with GitHub Actions CI/CD | DevOps × AI Series #4

Description

🚀 Get the full step-by-step project guide here: https://learn.nextwork.org/projects/ai-devops-githubactions?track=high 🤝 Join the NextWork community! https://discord.gg/gexhP97ySu Welcome to Project #4 of the DevOps × AI Series! Today we're automating your RAG API with GitHub Actions CI/CD. You'll build a complete pipeline that automatically tests your knowledge base quality, catches semantic regressions before they reach production, and scales to handle multiple documents—just like professional AI engineering teams do. What you'll learn today: ✔️ Create semantic tests that verify RAG answer quality (not just code correctness) ✔️ Solve LLM non-determinism with mock mode for reliable automated testing ✔️ Build GitHub Actions workflows that trigger on code and document changes ✔️ Catch data quality issues automatically—before users see degraded answers ✔️ Scale your knowledge base with multiple documents and CI validation 🗓️ The DevOps × AI Series DAY 1: Build a RAG API with FastAPI - https://learn.nextwork.org/projects/ai-devops-api DAY 2: Containerize your RAG API with Docker - https://learn.nextwork.org/projects/ai-devops-docker DAY 3: Deploy to Kubernetes - https://learn.nextwork.org/projects/ai-devops-kubernetes DAY 4: Automate with GitHub Actions - https://learn.nextwork.org/projects/ai-devops-githubactions