Automation & Ops Skill
Client Onboarding
Onboard a new customer, set up a new client project, or initialize FAZ 1 for a customer.
$15
n8n Multitenant RAG Chatbot
A per-tenant RAG chatbot over each client's own documents, answered with cited sources and strict isolation.
A per-tenant RAG chatbot that lets each client ask questions over their own documents, reports and onboarding material, answered by a large language model with cited sources. Each tenant's content lives in an isolated vector index so one client can never see another's data at the query level, a multi-layer prompt-injection guard protects the system prompt, and a per-tenant cost cap keeps spend predictable. It works across WhatsApp and a web widget, and answers carry a source footer so they read as grounded, not guessed.
$15 one-time
Add to a kit → Prices include 20% VAT. · Forged on real agency work · one-time, no lock-in
- Type Skill
- Category Automation & Ops
- Delivery Email · instant
- License One-time
Inside the run · no black box
See the actual work before you buy it.
A grounded client bot has to answer from the right documents and only the right documents. This pipeline isolates, retrieves, guards and cites:
- Chunks each client's documents and stores them in a vector index keyed to that tenant
- On a question, retrieves the top matching chunks with a mandatory tenant filter enforced in the database query
- Passes only those chunks to the language model and generates an answer with a source footer
- Runs a multi-layer prompt-injection guard so the system prompt and isolation cannot be overridden
- Serves the answer over WhatsApp or a web widget and meters usage against a per-tenant cost cap
One power source. 6 lines out.
n8n-multitenant-rag-chatbot · core
core active · 6 lines
- ✓ giving clients a 24/7 fi…
Giving clients a 24/7 first-line bot over their own reports and docs
- ✓ answering how a client r…
Answering how a client ranked last month without re-reading a document
- ✓ letting customers self-s…
Letting customers self-serve over contracts, audits and onboarding files
- ✓ adding a grounded q&a la…
Adding a grounded Q&A layer to a content-heavy product or course base
- ✓ isolating each tenant's
Isolating each tenant's knowledge so data never crosses clients
- ✓ offering chat answers with
Offering chat answers with cited sources to reduce hallucination risk
Yours to keep.
Drag time forward. Watch what stays.
Forever
That's what owning means.
The rented stack
ai writing tool: subscription
expired · access lostanalytics suite: subscription
expired · access lostdesign platform: subscription
expired · access lost(nothing left)
Your forge
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Clients get instant answers grounded in their own documents
license: perpetual -
Strict tenant isolation keeps one client's data invisible to another
license: perpetual -
Cited sources make answers feel trustworthy, not invented
license: perpetual -
A per-tenant cost cap keeps spend predictable
license: perpetual
subscriptions expire · deeds don't
Everything in the box.
Pick a piece up. Watch it work.
Document chunking and a vector index per tenant
6 parts · one working system · ships instantly by email
This wasn't forged for everyone.
- Not for you if you'd rather rent a tool than own one.
- Not for you if you want someone else to run your stack.
- Not for you if you're happy guessing.
Service businesses with document-rich client relationships who want a grounded, isolated, cited Q&A bot per client.
then this was forged for you.Works with
Universal by design: these run in any AI. Delivered in the open Agent Skills + MCP format (native in Claude); ChatGPT, Gemini, Cursor and Copilot adapt the same files their own way.
- Claude Native format
- ChatGPT Adapts via open standards
- Gemini Adapts via open standards
- Cursor Adapts via open standards
- Copilot Adapts via open standards
Catch what's on your mind.
the air is clear. nothing between you and the forge.
catch a spark: the forge will answer
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Can one client's bot ever see another client's data?
No. Isolation is enforced at the database query level with a mandatory tenant filter, so retrieval can only ever return the asking tenant's own documents.
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What stops it from making things up?
Answers are generated only from the retrieved documents and carry a source footer pointing to where they came from. A multi-layer guard also blocks prompt-injection attempts to override that behavior.
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When is a bot not worth it?
When a client has very few documents or asks only a handful of questions a month. Below that, a manual reply or an FAQ page is faster and the bot has no real return.
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How is it delivered?
By email right after purchase: ready to run, downloaded instantly, no setup wait.
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One-time or subscription?
A one-time purchase; no subscription or hidden fees. VAT (20%) is included.
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Can I get a refund?
As a digital product, it can’t be refunded once downloaded. That’s why we show exactly what’s inside and who it’s for, right here.