I will develop custom rag ai solutions for your app or website


About this gig
AI Engineer | RAG Systems | LLM Applications | Python Developer
Hi! I'm an AI Engineer and Python Developer specializing in building intelligent applications powered by Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
I help startups, businesses, and developers build AI solutions that are accurate, scalable, and production-ready.
What I can build:
- Custom RAG AI chatbots
- Document Q&A systems (PDF, DOCX, CSV, Websites)
- AI assistants using OpenAI, Gemini, Claude, and Llama
- Vector database integrations (FAISS, ChromaDB, Pinecone, Weaviate)
- LangChain and LangGraph workflows
- Python & FastAPI backend development
- REST APIs and AI integrations
- ️ Cloud-ready AI applications
Tech Stack
Python FastAPI LangChain LangGraph OpenAI Gemini Claude Llama FAISS ChromaDB Pinecone PostgreSQL Docker Git
I focus on writing clean, maintainable code and building AI solutions that solve real business problems. Whether you need a knowledge-base chatbot, document search system, or a custom LLM-powered application, I'm here to help turn your ideas into reality.
Let's build something amazing together!
Get to know Salman Khan
- FromPakistan
- Member sinceJul 2025
Languages
Urdu, English
My Portfolio
Other AI Development Services I Offer
FAQ
What is a RAG AI system?
A Retrieval-Augmented Generation (RAG) system combines Large Language Models (LLMs) with your own knowledge base, allowing the AI to answer questions using your documents, PDFs, websites, databases, or other business data instead of relying only on its pre-trained knowledge.
Which AI models do you support?
I can work with popular LLMs including OpenAI (GPT), Google Gemini, Claude, Llama, and other compatible models, depending on your project requirements.
Can you build a chatbot using my own documents?
Yes. I can build a chatbot that understands your PDFs, Word documents, websites, Notion pages, CSV files, databases, or other knowledge sources, enabling accurate and context-aware responses.
Which vector databases do you use?
I can integrate vector databases such as FAISS, ChromaDB, Pinecone, Weaviate, Qdrant, or other solutions based on your project's scale and requirements.
Can you integrate the AI solution into my existing website or application?
Can you integrate the AI solution into my existing website or application?

