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I will train a custom ai chatbot on your website, pdfs, and documents
Arslan Vuzmal
Acerca de este Servicio
Turn your PDFs, website content, and business knowledge into a professional AI chatbot that delivers accurate, context-aware answers.
I build custom AI and RAG chatbots using leading LLMs and modern retrieval systems. Whether you need a customer-support assistant, internal knowledge bot, document Q&A system, or website chatbot, I will design the solution around your workflow and business goals.
What I can deliver:
- Custom RAG chatbot architecture
- PDF, website, and knowledge-base integration
- Accurate answers with source-grounded responses
- OpenAI, Claude, Gemini, and other LLM integrations
- CRM, database, and API connectivity
- User authentication and multilingual support
- Clean, responsive chatbot interface
- Source code and deployment assistance
I focus on reliable retrieval, clean architecture, security, and practical business use rather than generic chatbot templates.
Have a specific idea or workflow in mind? Message me before ordering, and Ill recommend the right approach for your project.
Conoce a Arslan Vuzmal
Arslan Vuzmal
AI Automation Engineer and AI Systems Developer
- DePakistán
- Miembro desdejun 2026
Idiomas
Inglés
I build AI automation systems, AI agents, RAG applications, and full-stack AI products for businesses. My work includes workflow automation, CRM integrations, lead qualification, customer support, document processing, knowledge assistants, dashboards, and API integrations. I work with n8n, OpenAI, Claude, Python, Next.js, databases, APIs, and modern AI frameworks. My focus is building reliable systems with clear logic, clean integrations, testing, and production-ready deployment.
Mi porfolio
FAQ
1. What content can the chatbot be trained on?
PDFs, documents, website pages, FAQs, manuals, policies, product information, and other structured business knowledge.
2. What is a RAG chatbot?
A RAG chatbot retrieves relevant information from your knowledge base before generating an answer, which improves accuracy and reduces unsupported responses.
3. Which AI models can you integrate?
I can work with OpenAI GPT, Claude, Gemini, Llama, DeepSeek, Ollama, and other suitable models based on your requirements and budget.
4. Can the chatbot show its information sources?
Yes. Source references or citations can be added so users can verify where each answer comes from.
5. Can you integrate the chatbot with my website or business tools?
Yes. I can integrate it with websites, databases, CRMs, APIs, Slack, Microsoft Teams, WhatsApp, and other supported platforms.
6. Can you improve an existing chatbot or RAG system?
Yes. I can review, debug, optimize, or rebuild an existing system to improve retrieval quality, response accuracy, and performance.
7. Will the chatbot use my private business data securely?
The system can be designed with controlled access, secure credentials, private databases, and user authentication where required.
8. Do you provide source code and deployment support?
Source code and deployment support are available depending on the selected package or extras.
9. Can the chatbot support multiple languages?
Yes. Multilingual support can be configured based on the selected AI model, knowledge base, and required languages.
10. What do you need before starting?
I need your knowledge sources, target platform, required features, preferred AI model, access details, and a clear description of the chatbot’s purpose.
