Browse categories
Explore
Fiverr Pro
English
$
USD
I will build a rag chatbot for your documents and business data
Zain Ul Abdin
About this gig
Need a RAG chatbot that answers from your own documents instead of guessing?
I will build a custom Retrieval-Augmented Generation (RAG) chatbot grounded in your PDFs, documents, knowledge base, website content, or business data.
What I can build:
- Document and PDF chatbot
- Business knowledge-base assistant
- RAG chatbot with source citations
- Semantic and vector search
- Conversation memory
- API integration
- Advanced retrieval and reranking
- Deployment support
Depending on your project, I can work with Python, LangChain, OpenAI GPT, Claude, Gemini, Llama, Pinecone, Hugging Face and other suitable tools.
You will receive clean source code and a working solution based on the agreed scope.
Please message me before ordering if you need website crawling, CRM/database integration, authentication, multiple data sources, or production deployment.
Get to know Zain Ul Abdin
Zain Ul Abdin
Senior AI Engineer: RAG, AI Agents, fine tuned LLM Solutions, backend, AWS
- FromPakistan
- Member sinceNov 2025
- Avg. response time1 hour
Languages
English
I’m a Senior Generative AI & Full-Stack Engineer specializing in Python, FastAPI, AWS, and production-grade LLM systems.
I build scalable AI SaaS apps, APIs, AI agents, RAG pipelines, chatbots, fine-tuned LLM solutions, automation workflows, and cloud deployments using LangChain,LangGraph, OpenAI, Claude,Hugging Face,Docker, Kubernetes, and vector databases.
Engineering-first approach:
Clean architecture, secure scalable systems, clear documentation, CI/CD, and maintainable code. From MVP to enterprise production, I help businesses ship AI products that drive growth, efficiency, and revenue.
My Portfolio
FAQ
What kind of data can the RAG chatbot use?
I can work with PDFs, documents, text files, knowledge bases, website content and, depending on the project, databases or APIs.
Is RAG the same as LLM fine-tuning?
No. RAG retrieves relevant information from your data and provides it to the LLM when answering. Fine-tuning modifies model behavior using training data. This gig focuses on RAG.
Which AI models can you use?
I can work with OpenAI GPT, Claude, Gemini, Llama and other suitable models depending on your requirements, budget and deployment needs.
Can you integrate the chatbot into my website or application?
Yes. I can provide an API or help integrate the RAG chatbot into an existing application. Please contact me before ordering for integration work.
Are API, hosting and third-party service costs included?
No. API usage, cloud hosting, vector database subscriptions and other third-party costs are normally paid by the client.
Can you deploy the RAG chatbot?
Yes. Deployment support is available for advanced projects. Please contact me first so I can review your hosting and infrastructure requirements.
Should I contact you before ordering?
Yes, especially for databases, APIs, websites, authentication, large datasets or production deployment. I will help you choose the right package and scope.
