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I will develop a rag pipeline using langchain, llamaindex, and vector databases
Muhammad Hammad
Acerca de este Servicio
Want your AI to answer questions using YOUR documents? I build custom RAG (Retrieval-Augmented Generation) pipelines that connect your private data (PDFs, websites, databases) to LLMs like GPT-4 or Claude.
No hallucinationsjust accurate, source-backed answers from your own content.
PERFECT FOR: Internal team knowledge bases Customer support & FAQ chatbots Legal, medical, or research document Q&A
WHAT I DELIVER:
- Data Ingestion: Seamless integration with PDFs, Word, CSV, Notion, or URLs.
- Vector DB Setup: Pinecone, ChromaDB, FAISS, or Weaviate.
- LLM Integration: GPT-4, Claude, Gemini, or LLaMA.
- Advanced Features: Text chunking, embeddings, reranking, and chat memory.
- Interface: A clean Streamlit UI or a FastAPI backend.
️MY TECH STACK: LangChain, LlamaIndex, OpenAI, HuggingFace, Docker, and Cloud Deployment (AWS/Render).
WHY CHOOSE ME? You get clean, production-ready code. I don't just deliver the project; I explain how your system works so you are fully in control.
Kindly message me before placing order
Conoce a Muhammad Hammad
Muhammad Hammad
Turning Raw Data into Intelligent AI Solutions
- DePakistán
- Miembro desdefeb 2025
- Responde aprox. en:1 hora
Idiomas
Urdu, Inglés
Hi, I'm an AI Engineer specializing in Generative AI, AI Agents, and intelligent automation. I build custom AI chatbots, RAG applications, LLM-powered solutions, and multi-agent systems using GPT-4, Claude, Gemini, Llama, LangChain, LangGraph, CrewAI, AutoGen, n8n, and Python. I also develop Machine Learning, Deep Learning, NLP, and Computer Vision solutions with PyTorch and TensorFlow. I deliver scalable, production-ready AI systems with clean, reliable code.
FAQ
What data sources can you work with?
PDF, Word, CSV, Excel, websites, Notion, YouTube transcripts, SQL databases and more.
Which LLM will you use?
I work with GPT-4, Claude, Gemini, LLaMA, and DeepSeek — your choice or I recommend the best fit.
Will I own the source code?
Yes — full source code with detailed comments is delivered in every package.
Can you deploy the RAG system for me?
Yes — cloud deployment on AWS, Railway, or Render is included in the Premium package.
What if my use case is complex?
Message me before ordering — I will assess your needs and suggest the right package for free.
