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I will build an ai knowledge base chatbot with rag and openai
Georgy A
About this gig
I will help you plan and design an AI knowledge base chatbot or internal AI assistant using RAG, OpenAI and your company documents.
This is for businesses that want faster answers, better internal support, cleaner documentation usage and less manual searching across FAQs, SOPs, policies, onboarding guides, support macros or website content.
What I can help with:
- AI knowledge base chatbot planning
- Internal AI assistant roadmap
- RAG architecture
- Document and data structure review
- Source-based answer logic
- Model and tool recommendations
- Integration plan for website, Slack, Telegram, CRM or internal tools
- Cost and rollout planning depending on the package
Example use cases:
- Employees ask questions about internal SOPs
- Support team finds the right policy faster
- Customers get answers from your FAQ
- Sales team searches product or service information
- Managers reduce repeated internal questions
You will receive a clear plan or blueprint for how the AI assistant should work, what data it should use, what tools are needed, and how to roll it out reliably.
Please message me before ordering.
Get to know Georgy A
Georgy A
AI Automation Architect
- FromRussia
- Member sinceMay 2026
- Avg. response time1 hour
Languages
English, German, Hindi, Chinese
I build production-ready AI automation systems for service businesses, agencies, and SaaS teams.
I help companies reduce manual work, respond to leads faster, keep CRM data clean, and make daily operations easier to control.
My work includes AI lead qualification, automated follow-up, CRM automation, internal knowledge assistants, support routing, reporting workflows, and integrations with tools like n8n, Zapier, Make, OpenAI, CRMs
I focus on reliable systems, not fragile demos: clear logic, testing, documentation, and handoff so your team can actually use the automation after delivery.
My Portfolio
Other AI Development Services I Offer
FAQ
Do I need to contact you before ordering?
Yes, please message me before ordering. Every AI knowledge assistant project depends on your documents, use case, data structure, tools, security needs and integration requirements.
What is a RAG chatbot?
A RAG chatbot uses your documents or knowledge base to retrieve relevant information before generating an answer. This helps the assistant answer based on your approved content instead of giving generic responses.
What will I receive from this gig?
Depending on the package, you will receive a clear AI assistant plan, RAG architecture, document/data structure recommendations, model suggestions, integration plan, cost considerations and rollout roadmap.
Can you also build the assistant after the blueprint?
Yes. This gig focuses on planning and architecture, but I can also help with implementation through a custom offer after we define the required tools, documents and integrations.
What documents can I use?
You can use FAQs, SOPs, policies, onboarding guides, product information, support macros, website content, internal manuals, help center articles and other structured company knowledge.
Can this be used for internal teams?
Yes. The assistant can be designed for internal teams such as operations, support, sales, onboarding, HR, management or any team that needs faster access to company knowledge.
Can the assistant provide sources?
Yes, the blueprint can include source-based answer logic so the assistant can reference the document, page, section, URL or knowledge base article used for the answer.
Will the AI always answer correctly?
AI systems can make mistakes. The goal of the blueprint is to reduce risk with source-based answers, clear limitations, testing scenarios, escalation rules and human review where needed.
