RAG System
AI knowledge management that finds what your team can't
The answer to half the questions your team asks is already sitting in an old email, a transcript, a proposal nobody can find. RAG takes all of it and turns it into something you can just ask. Plain question, straight answer, with the receipts.
Think about how much your business actually knows that lives in nobody's head and everybody's inbox. Years of calls, documents, notes, decisions. Right now the only way to get at it is to remember where you put it or ask the one person who was there. RAG takes all that scattered material and builds it into a private system your team can ask in plain English. Every answer comes back with a link to where it came from, and when the answer genuinely isn't in your data, it tells you that instead of making something up.
Everything you need to run it yourself.
Your AI knowledge base, stored by what your data means, not just the words in it, so the system understands a question even when nobody phrased it the way the document did. This is the part that makes search feel like asking a person.
The whole pipeline runs on your Make.com account, from the moment a document goes in to the moment an answer comes out. It's a custom RAG build, yours when we're done. No subscription, nobody in the middle.
An Airtable setup where your team uploads documents and asks questions. It turns your files into an AI knowledge assistant anyone can use, built for people who have no interest in how any of this works under the hood.
We use IBM Docling to process your files, including the ugly PDFs, so the system actually understands how a document is put together instead of chopping it into nonsense. That's the difference between an answer that holds up and one that doesn't.
We load your first 50 to 100 documents during the build and tune the whole thing to your actual material, not a generic template.
We teach your team to add new documents after handoff, so the system gets smarter every week without us in the loop.
Four weeks from kickoff to running it yourself.
Discovery and data onboarding
The first two weeks are about your data. We figure out what you've got, what's worth pulling in, and prep your first set of documents. We spend the extra time here because this is what decides whether the answers are any good later.
System build
We build and wire up the whole engine inside your own tools, then load your first batch of documents and check that what comes back is actually accurate.
Training and handoff
Hands-on sessions with your team driving, plus the documentation to fall back on. By the end of the week you own it and you can run it without us in the room.
This is right for you if…
Your team wastes hours hunting for answers
Somebody needs a detail from a call six months ago or a number from an old proposal, and they either burn an afternoon digging for it or give up and wing it. Both cost you.
Too much lives in too few heads
The important stuff is in a handful of people's memory, and every time one of them leaves, a chunk of how your business works walks out with them.
Generic AI keeps guessing
You've asked ChatGPT something about your own business and watched it confidently make things up, because it knows the internet, not you. RAG answers from your data or tells you it doesn't know.
- The knowledge core, configured for your data
- An automation pipeline you own outright, on your Make.com account
- An Airtable workspace built for non-technical users
- IBM Docling document processing, ugly PDFs included
- Your first 50 to 100 documents loaded and tuned
- Hands-on training and a real handoff
- Documentation and reference materials to keep
- Add-on: Visual Intelligence. The same engine pointed at your image library, so your team can find photos and brand assets by describing them instead of remembering the filename.
- Support package after launch, sized to what you need
Clients who buy Voice Assistant often add…
Custom AI System
Hook the knowledge base into the workflows your team runs daily, so the right answer shows up inside the work instead of needing someone to go ask for it.
AIO System
Once your knowledge base is built, AIO can pull from it to write content grounded in what your business actually knows.
The questions we actually get.
ChatGPT knows the public internet. It knows nothing about your customers, your decisions, or your history, so when you ask it about your own business it guesses. RAG only answers from your data, and it shows you the source for every answer so you can check it.
Yes. It lives in your own accounts, it never leaves them, and it's never used to train anybody's AI. The knowledge base is yours and only yours.
No. Day-to-day, it's an Airtable workspace, and we train your team to use it and to add new documents before we hand it over.
You run it. It's yours. Training and documentation are part of the build. If you'd rather have us around for the first stretch, the six-month support package is there, but it's optional, not a crutch you're stuck paying for.
It tells you. The system is built to say it doesn't know instead of inventing something, and every answer it does give points back to the document it came from, so your team can trust it.
Put your company's knowledge to work.
Stop paying your team to dig for answers you already own. Book your audit and we'll figure out the fit.