Policies pasted into a prompt
The prompt overflowed.
BoldBellowsn8n RAG chatbot automation for teams whose knowledge lives in documents nobody reads
n8n RAG chatbot automation that answers from your own documents, shows its sources and says so when it does not know
A retrieval workflow in n8n splits documents into chunks, turns them into embeddings, stores them in a vector store and retrieves the closest chunks for each question, so answers rest on your documents and their quality depends on the chunking. BoldBellows collects the documents the chatbot may use, decides who owns each one and notes which questions it must refuse before any text is indexed, splits the documents into sensible chunks, stores them in a vector store, answers only from what it retrieves and shows the source with every answer, then builds n8n RAG chatbot automation in two workflows. An ingestion workflow reads the documents you approve, splits them at natural boundaries such as headings, adds metadata like the document name and date, creates embeddings and stores them, and is rerun when a document changes so old text is replaced and not left behind. A chat workflow retrieves the closest passages for each question, asks the model to answer only from them, returns the answer with links to the sources, and replies that it does not know when nothing relevant is found. Custom n8n RAG chatbot automation can add several document collections with separate access.
View Pricing
From $1,235, billed once.
- n8n RAG chatbot
- Answers from your documents
- Sources shown, refusals honest
The guarantees behind the n8n AI route
- Chunks at natural boundariesheadings, not arbitrary cuts
- Answers only from retrievalno invention from memory
- Sources with every answerlinks to the document
- An honest refusalwhen the documents are silent
- Written handoverThe route, the controls and the repair steps arrive as a PDF
- No subscription$1,235 to start, then nothing recurring from us
01the pasted-policies problem
A chatbot that knows everything except your own policies answers confidently and wrongly
The first version of a company chatbot pastes the policies into the prompt. It works for three pages and then the prompt overflows, so someone cuts it down and the refund policy is lost. A general model asked about the returns window answers with a plausible number that is not yours. When a policy changes, the prompt is edited by hand, if anyone remembers. Staff stop trusting the answers after the first wrong one, and there is no source to check, so every answer has to be verified manually, which defeats the purpose.
A plausible wrong number
The model guessed the returns window.
A changed policy not updated
Old text kept answering.
The same documents, now answering questions
Before: one question per notification
- Every event is written as it arrives
- Policies are pasted into a prompt
- Answers have no source
After: judged first, written once
- Each write is keyed on the question, the retrieved chunks and the answer
- Documents are chunked, indexed and retrieved by relevance
- Every answer shows its source or says it does not know
02how it works
How a question becomes an answer drawn from your documents
A change is admitted, identified, matched and written, always in that order.
- Receive and qualify. The notification is authenticated, stamped with account, resource and time, then checked against the admission rule.
- Ingest, split, index. Approved documents are split at natural boundaries, given metadata, embedded and stored, and re-indexed when a document changes.
- Retrieve, answer, cite. Each question retrieves the closest passages, the model answers only from them, and the reply links its sources or says it does not know.
What n8n and the model each do, and what we add
- Chunking decides quality. RAG answers depend on how documents are chunked, embedded and stored in a vector store and on retrieving the closest chunks for each question, so chunking is the first quality lever.
- Chunking decides quality. How a document is split decides what can be retrieved, so chunks follow headings and carry the document name and date, and the splitting is tested with real questions.
- If a reply is lost. The route reads AI RAG Chatbot Answers through the question, the retrieved chunks and the answer to learn whether the write landed, then acts on the answer.
03Everything inside the box
How answers are grounded: ingest, retrieve and cite
Foundation sets the rules and the key. Operations does the writing. Assurance compares both sides over time.
FoundationOperationsAssurance
Admission rule engine Foundation
Decides which n8n events may proceed and logs why the others were set aside.
Stable identity ledger Foundation
Maintains a searchable ledger of n8n proposals, with the evidence behind each one beside it.
Allowlist mapper Foundation
Maps approved n8n fields to AI RAG Chatbot Answers fields one by one and rejects anything not on the list.
Ingestion workflow Operations
Reads approved documents, splits them at natural boundaries and stores them with metadata.
Re-index on change Operations
Replaces a document's chunks when it changes so old text stops answering.
Grounded answers Operations
Asks the model to answer only from the retrieved passages and show its sources.
Refusal rule Assurance
Replies that it does not know when nothing relevant is retrieved.
Question test set Assurance
Replays real questions after every change to check retrieval and answers.
Owner queue Assurance
Gives each unresolved n8n case a named owner, so nothing waits in a shared inbox.
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04Who it's for
Built for DevOps engineers, and for anyone who must answer questions from your own documents with a chatbot that shows its sources and says so when it does not know
People trust a chatbot when it answers from documents they can check, and distrust it the first time it invents something.
Support lead
"Answer from the policies."
Replies cite the policy they came from.
Operations manager
"Keep one source of truth."
Documents are indexed once and updated on change.
New employee
"Find the answer fast."
Ask a question and see the source.
Compliance lead
"Trace every answer."
Sources and a log show where it came from.
Founder
"Stop answering the same questions."
The chatbot handles the repeats.
Developer
"Debug retrieval."
A question test set shows what is retrieved.
05Compare
Three ways to connect n8n and AI RAG Chatbot Answers: a chatbot with a prompt full of pasted policies, a zap, or a retrieval workflow with chunked documents, a vector store, source links and a refusal rule
Each can chat. Only one retrieves from your documents, cites them and declines when they are silent.
| How knowledge is kept | Pasted policies | Confident wrong answers | Our grounded chatbot |
|---|---|---|---|
| What starts the work | A person spots the update | Every matching hook runs | YesOnly a workflow execution that meets the written rule |
| How identity is decided | Whoever it is checks the name | Email or name, compared as typed | YesA prompt stuffed with policies |
| What reaches AI RAG Chatbot Answers | Fields typed from memory | Every mapped field, as plain text | YesChunked, indexed documents with sources and refusals |
| After an uncertain result | Someone checks by eye | Retry, or give up | YesSearches by the question, the retrieved chunks and the answer, compares, then repairs |
A late notice follows a newer update
The timestamp on the incoming event is checked first; a stale one is recorded and closed instead of rolling the question back.
A policy document is replaced by a newer version
The ingestion run replaces its old chunks with the new ones, so the chatbot stops quoting the previous version. The route looks for the question through the question, the retrieved chunks and the answer, compares it with the intended values and records a verdict: absent, correct, different or unclear. A new question is made only when the search proves there is none.
Start the n8n to AI RAG Chatbot Answers build with the question, the retrieved chunks and the answer; the rest of the route leans on it.
PricingWhat drives the cost: documents, chunks and answers
Pricing a chatbot: collections and channels
Packages open at $1,235.
One setup fee · Range shown first · PDF handover included
View Pricing
Pricing
Build your n8n AI RAG Chatbot Answers price
Pick a package, answer three short questions about how n8n data should reach AI RAG Chatbot Answers, and your price and turnaround move as you choose.
06The process
Six steps from pasted policies to grounded answers
From the first brief to the first month live, six steps with clear outputs.
Choose the documents
We list the documents the chatbot may use, who owns each and the questions it must refuse.
Approve access
n8n permissions are set to the minimum, the model service is confirmed and the approval chain is written down.
Agree sources and refusals
The approved documents, the update rule and the refusal wording are written down and signed off.
Break it on purpose
We replay events, delay them, remove fields and revoke access in a safe AI RAG Chatbot Answers copy before anything goes live.
Launch with notes
The live route starts from a fixed boundary, followed by a handover PDF for your administrators.
Review after launch
Once real events flow, the opening weeks are checked against the evidence log so early surprises are caught and recorded.
07Turnaround
How fast each package runs
Your delivery range starts on the day n8n and the model are both connected.
Foundation
6 to 10 business days
Operations
10 to 16 business days
Assurance
16 to 24 business days
08Before we start
Getting started: what you provide
The go-ahead to connect to n8n with limited scope
Owner rights to n8n, an AI model account of your own and the folder of documents the chatbot may use
An authorized n8n connection for the resources named in scope
Your definition of which workflow executions should reach AI RAG Chatbot Answers
Permission to run tests against a copy of AI RAG Chatbot Answers
Your expected volume, so limits and pacing can be set
09Security and ownership
Nothing is installed in n8n or AI RAG Chatbot Answers, only mapped data moves
What the model may see from n8n is agreed in writing, and what it may propose is agreed with the same care.
Nothing installed inside either tool
The route talks to n8n and AI RAG Chatbot Answers only through documented endpoints, so neither needs a plugin, a patch or a hidden setting.
Scoped, revocable access
Access ends the moment you disconnect, with no lingering copies.
Only what the map allows
A written field map decides what crosses. Anything not on it, including private notes and billing data, is left behind.
Search before you write again
After any uncertain result the route looks for the question using the question, the retrieved chunks and the answer; only a proven absence allows a new one.
Minimal logging
History is kept as outcomes and references, so a leak would reveal little.
Full handover
Nothing is rented back: the configuration and the notes transfer to you.
10In their words
What BoldBellows clients say
Verified reviews from operations and finance teams who trust BoldBellows to keep their data moving correctly.
AI Workflow Automation for Agencies
Running a digital agency with many clients was overwhelming. BoldBellows built one automation dashboard that tracks tasks, sends updates and creates client reports automatically.
Clients love the transparency and we love the time we get back. Productivity is up, and project delays have dropped to almost zero.
AI Customer Journey Automation
We wanted a smoother path from first contact to purchase. BoldBellows built an AI system that guides each customer there automatically.
It sends personalized messages, recommends products and follows up at just the right moment. Customer retention has improved dramatically.
AI E-commerce Listings Automation
BoldBellows automated our product listings. The AI writes descriptions, organizes photos and publishes listings across several marketplaces.
It even answers customer questions instantly. Our store looks more professional and sales have noticeably increased.
AI Document & Contract Automation
Onboarding was slow because we wrote every contract by hand. BoldBellows automated the lot: contracts, welcome emails and client setup.
What took 48 hours now takes under 10 minutes, and clients regularly tell us how professional it feels.
AI Social Comment & DM Automation
We get thousands of comments and messages every week. BoldBellows built an AI system that replies instantly, filters spam and surfaces the important ones.
Engagement is up and our page looks active around the clock. It’s like having a full social media team that never stops.
AI CRM Automation
Our CRM was barely used because updating it by hand was tedious. BoldBellows automated data entry, tagging, segmentation and follow-ups.
Now the CRM is always up to date and our campaigns are far more accurate. It improved our whole sales pipeline.
AI Voice Assistant
BoldBellows built a custom AI voice assistant for our customer hotline. It answers questions, books appointments and handles simple requests.
Customers love how fast it is, and our call-centre workload dropped dramatically. One of the smartest upgrades we’ve made.
AI Automation Partner
BoldBellows is hands-down the best AI automation partner we’ve worked with. Their systems are fast, reliable and built around how our business actually works.
Every automation they’ve delivered, from customer service to content, runs flawlessly. We’ve saved time, cut costs and grown faster than we expected.
AI Chatbot & Customer Support
BoldBellows built an AI support chatbot for our online boutique, and it has changed how we run the business. We used to have two full-time staff answering the same questions all day. Now the AI handles order tracking, product recommendations and even refund requests on its own.
What surprised me most is how natural it sounds. Customers compliment the ‘agent’ without realizing it’s AI. Our support workload dropped by 75% and customer satisfaction went up dramatically.
AI Content & Social Media Automation
Our marketing agency couldn’t keep up with content. BoldBellows set up an AI content engine that writes blog posts and captions and even designs our social media creatives.
It spots trends and suggests topics for us, so we stay ahead of competitors. We now produce three times the content with the same team, and engagement has soared. They didn’t just automate our workflow, they lifted our whole brand.
AI Lead Qualification & Sales Automation
Our sales team wasted hours chasing cold leads. BoldBellows built an AI lead-scoring system that reads behavior, email engagement and buying signals.
It filters out weak leads and sends personalized follow-ups automatically, so our team only talks to people who are ready to buy. Conversions rose 40% in the first month. It paid for itself straight away.
AI Video & Voice Automation
We publish product videos every week, and BoldBellows introduced us to AI video automation. The system writes the script, voices it and produces the finished video in minutes.
The quality is remarkable: professional voiceovers, clean visuals and smooth editing. Production time went from three days to under 30 minutes, and we scaled our video marketing without adding cost.
AI Email & Smart Inbox Management
Our inbox used to be chaos. BoldBellows built an AI email system that sorts messages, drafts replies and flags anything urgent.
It learns how we write and gets better every week. We reply faster and no longer miss important messages. It feels like having a personal assistant working around the clock.
AI Booking & Scheduling Automation
Our coaching business needed a better way to schedule. BoldBellows automated all of it: bookings, reminders, cancellations and follow-ups.
No-shows fell by 60% and clients enjoy how smooth it is. It feels personal, not robotic. One of the best upgrades we’ve made.
AI Translation & Localisation
When we expanded abroad we needed fast, accurate translations. BoldBellows built an AI translation system that turns our content into several languages instantly.
The translations read naturally and suit each culture. We now serve customers in five new countries without hiring translators. BoldBellows helped us go global.
AI HR & Recruitment Automation
Our HR team was drowning in applications. BoldBellows automated screening, skills-based filtering and interview scheduling.
It saves us hours every week and means we only interview qualified people. Hiring is now faster, better organized and more professional.
AI Accounting & Invoice Automation
BoldBellows automated our whole invoicing process: creating invoices, sending reminders and tracking payments.
Late payments dropped sharply, and our accounting team finally has time for strategy instead of repetitive admin. Worth every penny.
AI Data Entry & Reporting Automation
We used to spend hours collecting data and building weekly reports by hand. BoldBellows automated all of it.
The reports are clean, visual and easy to read, and our managers rely on them for quick decisions. Human error is gone and our numbers are more accurate across the board.
11FAQ
RAG chatbots in n8n: questions from teams
Answers from real scoping conversations, so you can decide faster.
Do I need more than a model prompt on a n8n trigger?
When answers grounded in your documents, with sources is all that is wanted, a connector can manage that. It cannot keep the knowledge current, retrieve the right passage and decline when the documents do not say. Those gaps are the reason this build exists.
What is RAG?
Retrieval-augmented generation: the chatbot retrieves passages from your documents and answers from them.
Will it invent answers?
It is instructed to answer only from retrieved passages and to say it does not know when none are relevant.
How does it stay up to date?
When a document changes, its chunks are replaced by the ingestion workflow.
Which vector store is used?
One that suits your volume and hosting, such as a hosted store or one you run, confirmed in the quote.
Can different people see different documents?
Yes, by keeping separate collections with their own access.
What is the cost of n8n RAG chatbot automation?
One price, set in writing from the number of collections and the channels the chatbot appears in.
Do you show us each n8n field before it is used?
Every document is listed with its owner, its update rule and the questions it may answer, and indexing begins only after you sign it off.
Is the AI route configurable per team on the n8n RAG Chatbot service?
Yes. We design the branching with you, and the n8n AI route follows it exactly, from $1,235.
What if the model provider changes its terms on the n8n RAG Chatbot service?
Nothing is silently patched. A platform change surfaces as a paused step with a clear reason, and remediation after your review window is quoted apart.
Next stepLet people ask your documents
Give your team a chatbot that answers from the documents and shows where
Send the documents you wish people could simply ask, and a written estimate comes back before anything is indexed.
- From $1,235, paid once
- Sources shown
- Honest refusals
- No monthly fee from us
Special requirements are handled as a separate quoted extension.