A robust RAG system enhanced with contextual retrieval. The system uses Google Drive triggers, custom JavaScript for text chunking, and an additional LLM call (using cost‐efficient models like GPT 4.1 nano with prompt caching) to prepend context to each chunk. Embedded in a Neon serverless Postgres (or similar vector database), this design improves document retrieval accuracy for AI agents.
You'll bring your own API credentials (so the workflow runs under your accounts) — I'll walk you through wiring them up on our setup call, which is included with your purchase.
Schedule a free call and I'll help you identify the highest-impact automation opportunities for your business.
Book a Call