I will build an ai rag agent in n8n for your documents
About this gig
Need an AI assistant that can actually understand and search your documents?
I will build a custom AI RAG agent using n8n that connects your documents to an AI model and allows users to ask questions and receive relevant answers from your knowledge base.
Unlike a basic chatbot, a RAG-based assistant retrieves relevant information from your documents before generating a response.
What I can build:
Document-based AI Q&A
RAG knowledge base
Multi-document search
n8n automation workflows
AI model integration
Conversation memory
Conditional logic
"I don't know" fallback handling
Spam/query filtering
API integrations
Custom response formatting
Custom branded AI assistant
Possible use cases:
Company knowledge bases
Customer support
Internal company assistants
Product documentation
SOPs and manuals
Research documents
HR/company policies
Business knowledge bases
Tools I can work with:
n8n + RAG + AI models + vector databases + APIs
Why work with me?
I focus on building practical AI automation workflows rather than simple chatbot setups. I can customize the workflow according to your documents, business process and requirements.
Please message me before ordering
Get to know SAIFAL KHATTAK
AI Automation Developer Custom Agents, Workflows and Integrations
- FromPakistan
- Member sinceAug 2026
- Avg. response time1 hour
Languages
English
My Portfolio
FAQ
What types of documents can the AI assistant read?
Any FAQ, policy document, product guide, or knowledge base in text format (PDF, Word, or plain text). Basic covers 1 document, Standard up to 3, and Premium up to 6.
How do you make sure the AI doesn't make things up?
I use RAG (Retrieval-Augmented Generation), which grounds every answer in your actual documents instead of the AI's general knowledge. If the answer isn't in your docs, it says "I don't know" instead of guessing.
What tools/technology do you use to build this?
I build with n8n for automation, Google Gemini for the AI model, and vector databases to store and retrieve your document content accurately.
