# Vector Databases & RAG Systems ## Why this matters This guide distills battle‑tested frameworks, checklists, and templates you can reuse immediately. Each section is designed to be evergreen so your team can return to it whenever decisions get complex. ## Core framework - Problem framing → Data → Model → Evaluation → Deployment → Governance. - Responsible AI by default: privacy, fairness, and human oversight. ## Action checklist - Define owners, timelines, and success metrics. - Start with a small pilot; document what worked and what didn’t. - Build a shared glossary so teams use the same language. - Create a rollback plan for any risky change. ## Metrics that matter - Leading indicators (activity/quality) and lagging indicators (business impact). - A lightweight dashboard reviewed weekly beats a complex one opened yearly. ## Tools & templates - A one‑page brief to align stakeholders. - A RACI chart for roles and responsibilities. - A risk register with probability × impact scoring. ## Common pitfalls to avoid - Technology before strategy. - Big‑bang launches without iteration. - Measuring outputs instead of outcomes. ## What to do Monday morning 1. Pick one initiative and define the next two sprints. 2. Set up a shared doc with decisions, risks, and owners. 3. Book a monthly review to iterate relentlessly. ## Keep learning Bookmark this article and revisit it as your context evolves. Each time you will find a checklist, template, or question that unblocks the next step.