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.
Price
$1,300
Monthly Lease
$220
Industry
Generic/Cross-Industry
Departments
Operations, IT & Engineering
Integrations
Trigger
File Upload
Delivery
Data Retrieval
In Playlists
This is a custom n8n workflow. Book a free call and I'll build, configure, and test it for your business — no coding required.