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I will build and deploy custom ai solutions using rag
I’m Muhammad Naveed, an AI Engineer building custom chatbots, computer vision systems and automation tools. I use machine learning and deep learning to help businesses extract information, analyse dat...
About this Gig
Looking to build an intelligent AI system that can answer questions using your own data?
I will design, build, and deploy Retrieval-Augmented Generation (RAG) based AI solutions that combine Large Language Models (LLMs) with your custom documents and databases.
What I Offer:
RAG-based AI chatbots and assistants
Document-based Q&A systems (PDF, DOCX, CSV, DB)
Vector database integration (FAISS, Chroma, Pinecone)
LLM integration (OpenAI, LLaMA, Mistral, etc.)
Backend APIs using FastAPI / Flask
Deployment on cloud or local servers
Secure, scalable, and efficient solutions
Use Cases:
Knowledge base chatbots
Customer support AI
Internal company assistants
Research & document analysis tools
Why Choose Me?
Clean & production-ready code
Fast communication
End-to-end deployment support
100% client satisfaction
Please contact me before placing an order to discuss your requirements.
My Portfolio
Other Data Science & ML Services I Offer
FAQ
What is RAG and why should I use it?
RAG combines retrieval from your knowledge base with LLMs, making responses more accurate and grounded in your data.
Can you work with my custom documents/datasets?
Yes, I can process PDFs, CSVs, JSON, or databases and connect them to your AI model.
Which LLMs and vector DBs do you support?
OpenAI, Llama, HuggingFace, Pinecone, Weaviate, FAISS, and others.
