4 n8n workflows · JSON + guide
A chatbot that answers from your own documents, with citations
Four n8n workflows that turn your PDFs and Notion pages into a documentation assistant: ingestion, chunking, embeddings, storage in Supabase pgvector, then a chat that answers with source citations — plus an API to embed it anywhere.
€119VAT included · one-time
You pay → instant access + email → findable at any time (Find my purchases) · Questions: admin@tech-bharat.com
Instant download · Setup guide in French — workflows are language-agnostic
All 3 packs, 12 workflows: Complete FlowKit Bundle — €269 (€347 bought separately).
The pack
Your procedures, contracts, documentation and internal notes sleep in PDFs nobody re-reads. This pack builds a complete RAG (Retrieval-Augmented Generation) pipeline on your own infrastructure: documents are chunked and vectorized into Supabase, and an n8n chatbot answers your team's questions using those contents exclusively, citations included. No out-of-scope hallucinations: when the answer isn't in your documents, it says so.
What you receive, exactly
This list is read from the delivered files each time the site is built: what you see here is what you download.
| File | Size | Nodes |
|---|---|---|
| GUIDE-INSTALLATION.md | 11.3 KB | — |
| workflows/api-question-reponse-rag.json | 10.4 KB | 10 + 3 notes |
| workflows/chatbot-rag-citations.json | 7.6 KB | 6 + 3 notes |
| workflows/ingestion-pdf-supabase-pgvector.json | 5.8 KB | 6 + 3 notes |
| workflows/sync-notion-base-vectorielle.json | 8.6 KB | 9 + 3 notes |
1,682 words · 2 SQL scripts
Each workflow, real diagram
01 · RAG PDF ingestion
First link of a RAG pipeline: this workflow exposes a webhook that accepts your PDFs, extracts the text, splits it into chunks, computes embeddings and inserts everything into a Supabase pgvector table. One curl command indexes a document.
See how it works node by node02 · RAG chatbot
The heart of the RAG Assistant Pack: a public n8n chat that queries your Supabase vector store and answers with source citations. Six nodes — proof that production RAG requires neither a framework nor code.
See how it works node by node03 · Notion RAG sync
Your documentation lives in Notion? This workflow indexes it automatically: every night at 2 am, it walks a Notion database, chunks and vectorizes the content, then refreshes the vector store — your RAG chatbot stays in sync with today's truth.
See how it works node by node04 · RAG API
The n8n chat can't be embedded everywhere — an API can. This workflow exposes a POST /ask endpoint: send {"question": "…"} and receive the answer grounded in your documents as structured JSON, ready to display in your site, CRM or internal tool.
See how it works node by nodeOne-time payment, instant download, updates included. 14-day money-back guarantee: if a workflow doesn't import, we refund you.
Or get the Complete Bundle: all 3 packs for €269 (€347 bought separately).
You pay → instant access + email → findable at any time (Find my purchases) · Questions: admin@tech-bharat.com
How it works
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The ZIP link (JSON workflows + setup guide) appears on the confirmation page, is also emailed to you and stays findable at any time (“Find my purchases”, at the bottom of every page).
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Seller: LACANGEL GROUP (SAS, Paris, France, VAT FR21995268018). Prices VAT included. Terms of sale
Go deeper
FAQ
The ingestion workflow handles PDFs natively (text extraction included). The Notion workflow covers your pages and databases. For other formats (DOCX, HTML), the guide shows how to add an extraction node upstream — the vectorization chain stays identical.
Because Supabase's free tier easily handles thousands of pages, pgvector is open source, and your data stays in a regular Postgres you can query, back up and migrate. The workflows use n8n's official Supabase nodes.
The included prompt constrains the model to answer only from retrieved passages and to cite the source of every claim. If nothing relevant is found, it explicitly says it doesn't know. You can tighten or relax that instruction.
Supabase's free tier (500 MB) typically absorbs several thousand pages split into 1,000-character chunks. Beyond that, Supabase's paid plan (~$25/month) pushes the limit much further — without changing the workflows.
