Agentic RAG System Created A Live Knowledge Layer For Enterprise Teams
Problem
Teams were drowning in outdated documents, scattered PDFs, and inconsistent knowledge across multiple departments. No one knew which file was the latest, and updating knowledge bases took hours. Internal AI assistants gave wrong answers because the data wasn't fresh.
Solution
We built an Agentic RAG System that maintains its own knowledge. The system watches Drive folders for new or updated files, extracts text automatically from PDFs, Sheets, Docs, CSVs, generates embeddings in real time, stores vectors + metadata in Supabase, deletes outdated versions instantly, and keeps a clean, ever-fresh index for internal AI tools. This became a live backend for chatbots, copilots, and internal workflows.
Impact
Knowledge updated the moment files changed
No need for employees to upload anything manually
Internal chatbots gave accurate, up-to-date answers
Large teams finally worked from a single source of truth
Removed the need for custom engineering or DevOps
Feels like the company's brain updates itself. No one asks 'Where's the latest file?' anymore.