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Fiverr Pro
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$
USD
I will build a rag chatbot for your data using llms
MugheeesHiader
About this gig
Need an AI chatbot that answers from your own data instead of giving generic responses?
I build custom RAG-powered AI assistants using LLMs, vector search, and structured knowledge workflows. Your chatbot can work with PDFs, manuals, reports, policies, technical documentation, research files, or other business knowledge.
What I can build:
- RAG chatbot trained on your data
- Document Q&A and knowledge-base assistant
- Source-aware answers with references
- LLM and API integration
- Database and authentication integration
- Local/private LLM options with Ollama
- OKF-based structured knowledge workflows
- Clean, maintainable source code
I focus on practical systems that retrieve the right context, reduce unsupported answers, and are easy to extend later.
Every project is different, so message me before ordering if you have a large dataset, custom integrations, or a specific deployment setup.
Get to know MugheeesHiader
MugheeesHiader
AI Engineer specializing in RAG, LLM Applications, AI Agents and OKF
- FromPakistan
- Member sinceOct 2026
Languages
English
Need an AI system that works with your data, not generic answers? I build practical AI solutions using RAG, LLMs, AI agents, and OKF. I work with Python, TypeScript, LLM APIs, Ollama, Docker, SQL, and prompt engineering to create RAG chatbots, document Q&A systems, knowledge assistants, and AI-powered web apps. I focus on reliable responses, clean architecture, and maintainable code. Send me your idea or requirements, and I’ll help turn them into a working AI solution.
My Portfolio
FAQ
What kind of data can I use with the RAG chatbot?
PDFs, manuals, reports, policies, research files, technical documentation, FAQs, and other structured or unstructured knowledge sources.
Will the chatbot answer only from my data?
The system can be configured to retrieve relevant information from your knowledge base and ground its responses in that context, with source references where required.
What is OKF and why do you use it?
OKF helps organize knowledge into a structured format that can be reused across AI applications, RAG systems, and agents.
Can you use a local LLM instead of OpenAI or other APIs?
Yes. Depending on your requirements and hardware, I can work with local models using tools such as Ollama as well as hosted LLM APIs.
Do I receive the source code?
Yes, source code is included according to the selected package, along with the implemented RAG and LLM workflow.
