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I will build an ai customer support chatbot with your knowledge base
Roman K
About this gig
I will build an AI customer support chatbot using your business knowledge base. I can connect your documents, FAQs, or internal information to an AI assistant using RAG, OpenAI, vector databases, and n8n. The chatbot can be integrated with Telegram or a web chat to provide automated and consistent customer support.
Get to know Roman K
Roman K
AI Automator
- FromUkraine
- Member sinceAug 2026
Languages
English, Ukrainian
I build AI-powered automations and business workflows using n8n, AI agents, APIs, databases, and RAG.
My background combines AI automation with system administration (Linux, networking, firewalls, ISP infrastructure), giving me strong expertise in production environments.
I build n8n workflows, AI agents, RAG systems, LLM/API integrations, Telegram bots, CRM integrations, data classification, REST API/webhook integrations.
Tech: n8n, Claude, OpenAI, Qdrant, MySQL, Docker, Python, Linux, Google Apps Script.
I focus on reliable automation that reduces manual work and connects business systems.
My Portfolio
FAQ
What information can the AI chatbot use?
It can work with FAQs, documents, product information, internal documentation, policies, catalogs, and other structured or unstructured business information.
Can you connect the chatbot to Telegram?
Yes. I can integrate the AI assistant with Telegram and automate message processing through n8n.
Can you use my existing knowledge base?
Yes. I can work with existing documents, databases, or other sources and adapt the workflow to your current setup.
Do I need to provide an OpenAI account?
If an external AI API is required, you will need to provide access to your own account or API credentials. API usage costs are not included in the Gig price.
Can you integrate a web chatbot?
Yes, depending on the platform and available API or integration options.
Can you build the chatbot without RAG?
Yes. The architecture depends on your requirements, amount of information, and expected use case.
