I will develop a rag pipeline using langchain, llamaindex, and vector databases

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hammad75577
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hammad75577
Muhammad Hammad

About this gig

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

Get to know Muhammad Hammad

Muhammad Hammad

Turning Raw Data into Intelligent AI Solutions

  • FromPakistan
  • Member sinceFeb 2025
  • Avg. response time1 hour
  • Languages

    Urdu, English
Hi, I'm an AI & Machine Learning Engineer specializing in production-ready AI solutions. 🤖 Machine Learning & Deep Learning — Model training, computer vision, NLP, and AI pipelines using PyTorch & TensorFlow. 🧠 Generative AI & LLMs — GPT-4, Claude, Gemini, LLaMA, RAG pipelines, vector databases, LangChain, and prompt engineering. ⚡ Agentic AI & Automation — Multi-agent systems and AI automation using CrewAI, AutoGen, LangGraph, n8n, and Python. 📊 Data & Deployment — Databases, cloud deployment, and MLOps. I build scalable AI systems, custom models with clean and reliable code.