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I will build rag chatbot using openai llm and vector database
Eman Sarwar
About this gig
Build a Custom LangChain RAG Chatbot Trained on Your Business Data
Need an AI chatbot that can answer questions from your PDFs, website content, documents, or knowledge base?
I will build a custom LangChain-powered RAG (Retrieval Augmented Generation) chatbot using OpenAI and modern vector databases.
What I Can Build:
RAG Chatbots
Train AI on:
- PDFs
- Word Documents
- Website Content
- FAQs
- Databases
- Internal Company Data
AI Agents
Build agents capable of:
- Tool Calling
- API Integrations
- Multi-Step Reasoning
- Workflow Automation
- Lead Qualification
Message me to bring your idea to reality.
Get to know Eman Sarwar
Eman Sarwar
AI ML Engineer
- FromPakistan
- Member sinceMay 2026
- Avg. response time1 hour
Languages
Urdu, English
Hi, I’m Eman - an AI chatbot developer focused on building smart, human-like conversational systems for businesses.
I specialize in creating AI assistants that do more than just answer questions — they automate support, qualify leads, book appointments, guide users, and improve customer experience.
Whether you need a custom GPT chatbot, website assistant, WhatsApp bot, customer support AI, or an AI-powered business workflow, I build solutions that are fast, scalable, and easy to use.
FAQ
What is RAG?
RAG (Retrieval-Augmented Generation) allows AI to answer questions using your own documents and business data instead of relying only on general training.
What is LangChain?
LangChain is a framework used to build advanced AI applications, chatbots, agents, and RAG systems powered by LLMs.
Which AI models do you support?
I can integrate: OpenAI GPT-4o, GPT-4 Turbo, Claude, Gemini, Llama
Can the chatbot read PDFs?
Yes. I can train the chatbot on PDFs, Word documents, websites, FAQs, and databases
Will I receive source code?
Yes, source code can be provided depending on the selected package.
