You will get RAG System: AI That Answers From Your Own Documents (n8n + Pinecone)
Project details
Most AI tools hallucinate answers. This one doesn't — because it only answers from your actual documents.
I build RAG (Retrieval-Augmented Generation) systems using n8n that pull your files from Google Drive, chunk and embed them into Pinecone, and let AI query your own knowledge base accurately. No made-up answers. No out-of-date information.
Perfect for businesses that need AI to answer questions from internal documentation, product manuals, SOPs, or knowledge bases — without exposing everything to a generic chatbot.
Built with n8n · Google Drive · OpenAI Embeddings · Pinecone · Recursive Text Splitter. Full handover included.
What's Included
• Google Drive integration — auto-pulls your documents into the pipeline
• Recursive text chunking — splits docs intelligently for accurate retrieval
• OpenAI embeddings — converts your content into searchable vectors
• Pinecone vector store — stores and retrieves relevant chunks instantly
• AI query layer — answers questions using only your verified documents
• Full handover with instructions to add/update documents anytime
I build RAG (Retrieval-Augmented Generation) systems using n8n that pull your files from Google Drive, chunk and embed them into Pinecone, and let AI query your own knowledge base accurately. No made-up answers. No out-of-date information.
Perfect for businesses that need AI to answer questions from internal documentation, product manuals, SOPs, or knowledge bases — without exposing everything to a generic chatbot.
Built with n8n · Google Drive · OpenAI Embeddings · Pinecone · Recursive Text Splitter. Full handover included.
What's Included
• Google Drive integration — auto-pulls your documents into the pipeline
• Recursive text chunking — splits docs intelligently for accurate retrieval
• OpenAI embeddings — converts your content into searchable vectors
• Pinecone vector store — stores and retrieves relevant chunks instantly
• AI query layer — answers questions using only your verified documents
• Full handover with instructions to add/update documents anytime
AI Development Type
Knowledge RepresentationWhat's included
| Service Tiers |
Starter
$50
|
Standard
$100
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Detailed Code Comments | - | - | - |
Knowledge Graph | - | - | - |
Model Documentation | - | ||
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
Frequently asked questions
About Abdul
n8n Automation Expert | AI Agents, RAG & Chatbot Developer | Save 20+
Multan, Pakistan - 8:26 am local time
What I Build:
n8n Workflow Automation — Custom multi-step workflows connecting CRMs, ERPs, databases, and tools like Slack, HubSpot, Notion, Airtable, and Google Sheets.
AI Agents & Chatbot Development — Intelligent agents for customer support automation, lead qualification, and internal knowledge retrieval using OpenAI, LangChain, and vector databases.
RAG Systems (Retrieval-Augmented Generation) — AI pipelines that let your chatbot or agent query your own business data accurately, without hallucinations.
API Integration & Data Sync — REST API integrations and webhooks keeping your platforms in perfect sync.
Business Process Automation — End-to-end automation of sales pipelines, email workflows, content generation, and reporting.
Process Audits — Identifying your biggest automation opportunities and building a roadmap.
Recent Projects:
🤖 AI Email Customer Support Agent — automated ticket handling, mood detection, and response generation (n8n + OpenAI + Pinecone)
📚 RAG Knowledge Assistant — AI that answers questions from custom business documents
✍️ Auto Blog Generator — end-to-end AI content pipeline from topic to published post
🎙️ YouTube Transcript Generator — extracts and formats clean transcripts from any YouTube URL
Tech Stack:
n8n · Python · JavaScript · OpenAI API · LangChain · REST APIs · Webhooks · Google Sheets · HubSpot · Slack · Airtable · Notion · Pinecone · Vector Databases · Prompt Engineering · Make (Integromat) · Zapier
I deliver clean builds, clear communication, and zero surprises. Ready to automate? Let's talk.
Steps for completing your project
After purchasing the project, send requirements so Abdul can start the project.
Delivery time starts when Abdul receives requirements from you.
Abdul works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Document Review
I review your documents and define the chunking and retrieval strategy.
Pipeline Build
I build the n8n workflow: Google Drive → chunking → embeddings → Pinecone.