---
title: n8n Multitenant RAG Chatbot
category: product
entity_type: skill
price: $15
canonical: https://forgehouse.ai/skills/n8n-multitenant-rag-chatbot/
lang: en
hreflang_alt: https://forgehouse.ai/tr/skiller/n8n-multitenant-rag-chatbot/
last_updated: 2026-06-20
---

# 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.

## Use cases
- Giving clients a 24/7 first-line bot over their own reports and docs
- Answering how a client ranked last month without re-reading a document
- Letting customers self-serve over contracts, audits and onboarding files
- Adding a grounded Q&A layer to a content-heavy product or course base
- Isolating each tenant's knowledge so data never crosses clients
- Offering chat answers with cited sources to reduce hallucination risk

## Benefits
- Clients get instant answers grounded in their own documents
- Strict tenant isolation keeps one client's data invisible to another
- Cited sources make answers feel trustworthy, not invented
- A per-tenant cost cap keeps spend predictable

## What’s included
- Document chunking and a vector index per tenant
- Top-matches retrieval feeding a language-model answer
- A mandatory tenant filter enforced at the database level
- A multi-layer prompt-injection guard protecting the system prompt
- A source-citation footer on every answer
- WhatsApp and web-widget channels with a per-tenant cost cap

## Who it’s for
Service businesses with document-rich client relationships who want a grounded, isolated, cited Q&A bot per client.

## How it runs
A grounded client bot has to answer from the right documents and only the right documents. This pipeline isolates, retrieves, guards and cites:
1. Chunks each client's documents and stores them in a vector index keyed to that tenant
2. On a question, retrieves the top matching chunks with a mandatory tenant filter enforced in the database query
3. Passes only those chunks to the language model and generates an answer with a source footer
4. Runs a multi-layer prompt-injection guard so the system prompt and isolation cannot be overridden
5. Serves the answer over WhatsApp or a web widget and meters usage against a per-tenant cost cap

## FAQ
### 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.

### 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.

### 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.

## Price
$15, one-time, no subscription. VAT included.

Related guide: [How to run a marketing agency with AI automation](https://forgehouse.ai/guides/ai-marketing-agency-automation/)