Description
The problem: Employees and customers both waste time searching scattered docs for answers that already exist somewhere in your knowledge base.
Who it’s for: Freelance AI developers building internal tools for clients, and enterprise teams who want a working RAG architecture spec instead of researching one from scratch.
What’s included:
- Full RAG architecture spec (chunking, embedding, retrieval, generation)
- Recommended tool stack with alternatives at each layer
- Prompt templates for grounded, cited answers
- 12 months of free priority support included
Setup & requirements: A vector database and an LLM API of your choice (options and tradeoffs covered in the spec). Basic technical setup required to implement; this is an architecture and prompt spec, not a hosted service.
Frequently Asked Questions
Do you build this for us?
This is a self-implement spec; our Custom Automation Build-Out service is available if you’d rather have it built for you.
What if I get stuck?
Every purchase includes 12 months of free priority support. Message us with your setup.
