I will build an ai rag agent in n8n for your documents

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saifal_ktk
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saifal_ktk
SAIFAL KHATTAK

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

SAIFAL KHATTAK

AI Automation Developer Custom Agents, Workflows and Integrations

  • FromPakistan
  • Member sinceAug 2026
  • Avg. response time1 hour
  • Languages

    English
I'm an AI automation developer building custom agents that read documents, extract data, and take action — accurately, and without guessing. My work spans RAG-powered chatbots that answer from your FAQs, invoice automation that extracts and categorizes documents, and multi-branch AI systems that classify, prioritize, and route requests intelligently. Built with n8n, Google Gemini, and vector databases. Every system is tested against real edge cases before delivery. Detail-focused, thorough, clear communicator. Message me with your use case.

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