Custom RAG Systems_
Custom RAG That Knows Your Business.
Not What the Internet Guessed.
Generic chatbots guess about your business and sound sure. We build AI that answers only from your own verified documents.
Free for now · 1 hour, live and human to human. No business-in-a-box.
What happens in your Growth Audit
- One hour, live and human to human.
- We map which of your documents AI should answer from.
- We pinpoint what isn't working, and why.
- We brainstorm how our systems plug into your business model, industry, niche and market.
- Free for now. It becomes a paid service later.
From Naples to Metro Detroit: some of the businesses we've built for
The 60-Second Version_
Rather watch than read? Here's the 60-second version.
Watch the quick version, then skim the details below. Ready now? Your Growth Audit is one click away.
Free for now · 1 hour, live and human to human.
RAG is how your AI answers from your own playbook_
Custom RAG is not a PDF upload.
It is a retrieval system.
Most agencies sell RAG as a chatbot plugin: upload a stack of PDFs, add a chat bubble to the site, and call it trained on your business.
No one can promise an AI that never makes a mistake, and we won't. Language models can still slip. Your documents set the ceiling.
We refuse to be yes men.
We build the system underneath instead: your documents cleaned, split into clear passages, indexed for search, and wired to answer only from what it finds.
That means a document inventory, a tested plan for splitting text into passages, a private vector index (a searchable map of meaning), grounded answer prompts, citation checks and query logs.
Build it right once, and it compounds.
What is a Custom RAG System?
Picture AI in a drum, filled only with your business.
Picture a big blue 55-gallon drum with an AI inside. Now pour in only your manuals, product guides and policies. Nothing from the open web.
That's a custom RAG (retrieval-augmented generation) system.
It finds the passages in your documents that match a question, hands them to the AI, and has it answer from them, with the source.
Without it? A generic chatbot fills the gaps with guesses from the internet. It quotes a policy you dropped years ago, sounds certain, and your customer believes it.
A chatbot that guesses can't be trusted.
Generic chatbot: a guesser
Trained on the whole internet, it fills gaps about you with whatever sounds right.
Custom RAG: your facts
It pulls the matching passage from your own files and answers with the source.
Custom RAG makes sure your AI answers from what you know is true, and says so when it doesn't know.
Retrieval Systems, Not Chatbot Plugins_
Whatever goes in last wins. Unless it's indexed.
Pile papers on a desk and the one on top gets read first. Raw AI often works the same way, favoring whatever it saw last. Old and new facts get mixed, and answers start to wobble.
We don't dump your files into a chatbot and hope.
We find what your AI gets wrong, build an index of your verified facts, and test every answer against the source.
This is where Solve Design Create shines.
Feature / Approach
Typical Agency (The Upload and Hope Approach)
SDC RAG System (The Verified Source Approach)
Source Documents
Typical Agency:
- Every PDF uploaded as-is, old versions and all
SDC System:
- An inventory that flags conflicts and picks one source of truth
Chunking
Typical Agency:
- Text cut at random lengths, mid-sentence or mid-table
SDC System:
- Passages sized to your documents, tested on real questions first
Retrieval
Typical Agency:
- Whatever the tool pulls up, checked by nobody
SDC System:
- Sample questions tested so the right passage surfaces near the top
Answer Rules
Typical Agency:
- A chatbot that fills every gap with a confident guess
SDC System:
- Answers from your files with a citation, or an honest I don't know
Data Privacy
Typical Agency:
- Private company files pasted into public AI tools
SDC System:
- A private deployment matched to how sensitive your data is
Upkeep and Ownership
Typical Agency:
- Built once, never re-indexed, locked to the vendor
SDC System:
- Logged queries, a refresh plan and documentation your team owns
Why Most RAG Projects Fail_
RAG fails when it's treated as a file upload instead of a system built around your knowledge.
That's why we say we have two types of clients:
- Ones whose chatbot keeps making things up.
- Ones sitting on years of know-how AI can't use.
Time and time again, clients come to us with the same problems:
Old and new files disagree
If three versions of your return policy sit in the pile, AI picks one. Often it's not the current one.
Text chopped in the wrong spots
Split a table or a step-by-step guide in half and the AI gets part of the answer, then guesses the rest.
Nobody tested the answers
Most chatbots launch after a few friendly questions. Real customers ask messier ones, and that's where the wrong answers hide.
An AI that can't admit gaps
When the answer isn't in your files, a loose setup makes one up. A good one says it doesn't know and hands off to a person.
Built once, then left to go stale
Your services, staff and policies change. If nobody re-indexes the new documents, the AI keeps answering from last year.
Sound familiar? Your Growth Audit pinpoints which of these is holding you back.
What We Build_
Seven building blocks. One AI built on your facts.
Every RAG project starts with your documents and the questions people actually ask, not a chatbot demo. We look at what you know, where it lives, and what your AI gets wrong today.
01 · Document Inventory and Cleanup
We find out what your AI should know first.
We catalog every manual, policy and guide, flag outdated or conflicting versions, pick one source of truth, and strip out the boilerplate.
02 · Chunking and Overlap Plan
We split your text where the meaning breaks.
Chunking means cutting documents into passages. We test a few sizes and overlaps on sample files and keep the one that returns the clearest answers.
03 · Embedding and Indexing
We turn your passages into a searchable map.
Each passage becomes an embedding, a number pattern that captures its meaning, stored in a private vector index such as Pinecone, ChromaDB or Supabase.
04 · Retrieval Testing
We check the right passage comes up first.
We run sample questions, check whether the correct passage lands in the top results, and tune the search settings until it does.
05 · Grounded Answer Prompts
We tell the AI to stick to your sources.
Standing instructions pair each question with the passages found and ask for a cited answer or an honest I don't know, tested on real questions.
06 · Chat Interface and Logging
We put the answers where your people work.
A chat widget on your site, a Slack bot or an internal tool, with every question, source and answer logged for review and tested with your team first.
07 · Training, Handoff and Refresh
Your knowledge changes. So does the index.
We train your team on what the system can and can't do, document the setup, and set a refresh plan for adding new files and re-indexing old ones.
Which block is missing from yours?
Your Growth Audit finds the gap, live, in one hour.
Free for now · 1 hour, live and human to human.
What Success Actually Looks Like_
We don't measure RAG by how clever the chatbot sounds in a sales demo.
We measure whether answers match your documents, cite the right source, and admit gaps instead of guessing. We review the query logs and test results with you at handoff and every refresh.
What we measure instead:
Answers that match your current, verified documents.
A cited source behind every answer it gives.
Honest I don't know replies instead of guesses.
The right passage found on your real test questions.
A query log your team can review, and an index kept current.
Results_
Receipts, not promises.
Any agency that promises you rankings is telling you what you want to hear. We build the system, then we track what it does. Here's the goal, what we built, and what happened.
Figures come from client analytics and rankings reviewed in our client meetings. Your results depend on your market and starting point.
Case Studies_
Read the full builds.
Each case study connects the business problem to the system we designed, built and put to work.
When Brooks Burgers partnered with Solve Design Create, the goal wasn’t to change who they were; it was to amplify everything that made them unforgettable.
Reviews_
Real clients. Real reviews. 5.0 from 40 on Google.
★★★★★
★★★★★
★★★★★
FAQ_
Straight answers.
Can you guarantee it will never hallucinate?
No. Hallucination, when AI states something false with confidence, can be cut down but not wiped out by anyone. We guarantee the work: clean sources, tested retrieval, grounded prompts and logged answers. Then we show you the test results.
Can't we just upload PDFs to ChatGPT?
You can, and for a few files it may be fine. With hundreds of documents, conflicting versions and real customers asking, you need cleanup, testing and a source behind every answer.
Do you retrain an AI model on our data?
No. RAG leaves the model as it is. It looks up your documents each time someone asks and answers from them. Update a file, re-index it, and the answer changes with it.
How is custom RAG different from context engineering?
Context engineering organizes and labels your knowledge so AI can reason with it. A custom RAG system is the working machine: the index, the search and the chat tool people use.
Do I own what you build?
Yes. Your documents, index, prompts and code stay yours, with full documentation of how it works: 100% asset ownership, no hostages and no hidden dependencies.
Do you only build for Naples businesses?
No. We're in Naples, but a RAG build happens in your files and your tools, not on site. We work remotely with companies from Fort Myers to Metro Detroit, New York City and Los Angeles.
The Growth Audit_
One hour. Real humans. A plan shaped around your business.
It's how we analyze the opportunity with you, live: what's working, what isn't, and how our systems can plug into your business model. Not business-in-a-box. A custom plan for your needs, your industry, your niche and your market.
1 · Request your audit
Tell us about your business in the form below. We'll follow up to book your hour.
2 · Meet live, human to human
One hour together, live and human to human, digging into what's working, what isn't, and why.
3 · Leave with a custom game plan
We brainstorm how our systems fit your needs, your wants, your industry, your niche and your market.
- Free for now. It becomes a paid service later.
- You own everything we build. No vendor lock-in.
- We don't take every project. If we're not the right fit, we'll tell you.
Ready to get started?
Make your AI answer from your facts. We'd love to help your brand.
Free for now · 1 hour, live and human to human.
Free Growth Audit_
If your current marketing actually worked,
One hour, live and human to human. We look at what's working, what isn't, and how our systems can plug into your business model. Not business-in-a-box.
What happens next_
- Send the form.
- We get you on the calendar.
- We meet live for one hour, human to human.
- 5.0 on Google · 40 reviews
- 12 years in business
- 500+ projects
Reach us_
Request your Growth Audit
Free for now. It becomes a paid service later.
- We reach out within one business day.
What happens next_
- Send the form.
- We get you on the calendar.
- We meet live for one hour, human to human.
- 5.0 on Google · 40 reviews
- 12 years in business
- 500+ projects
Reach us_
