RAG Developers & Knowledge-System Engineers
RAG (retrieval-augmented generation) developers build AI that answers from your own documents, databases, and knowledge — with accurate, sourced responses instead of generic or made-up ones. Matchy matches you with vetted, US-based specialists who build retrieval systems that hold up in production.
What a RAG developer does
- Turn your documents, wikis, and databases into a searchable knowledge base for AI
- Build retrieval pipelines so answers are grounded in your real, current content
- Add source citations so users can verify every answer
- Handle the hard parts — chunking, embeddings, vector search, and freshness
- Evaluate accuracy and reduce hallucination on your specific material
Example projects
Why businesses use Matchy
Genuinely vetted
Every specialist passes a multi-stage skills assessment. No self-reported fluff.
US-based, both sides
Verified US-based and independent — every match, every time.
Matched, not listed
A ranked shortlist of three, with reasons. Not a directory to dig through.
How it works
Tell us what you need
A two-minute form: your goal, budget, and current level of AI adoption.
Get your best matches
We rank our vetted pool and surface your top three fits — each with a clear reason.
Connect and engage
Reach out, use our automated contract, get to work. No middleman, no cut of your engagement.
Frequently asked questions
What is RAG, in plain terms?
Retrieval-augmented generation retrieves the most relevant pieces of your own content and feeds them to the AI at answer time, so responses are based on your facts — and can cite where they came from.
RAG or fine-tuning — which do I need?
For giving AI access to your knowledge and keeping it current, RAG is usually the right tool; fine-tuning is better for shaping tone or narrow behaviors. A specialist can confirm based on your data and goal.
How much does a RAG system cost to build?
At a weekly engagement rate of roughly $1,200–$4,000, a typical RAG build runs about $8,000–$35,000 total, with data preparation often the biggest driver of the timeline. Cleaner, better-organized source content lowers the cost.
Related specialties
Find your RAG developer this week
One short form. A shortlist of vetted, US-based specialists, matched to your need.