I will build an ai support agent to reduce your customer support tickets

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muhammad_umerq
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muhammad_umerq
Muhammad Umer

About this gig

Production-Grade RAG PDF Research Agent


Get high-performance Retrieval-Augmented Generation (RAG) systems tailored to your documents. No hallucinations. 


️ TECH: Python Streamlit ChromaDB BM25 Groq LLaMA LangChain Docker


CHOOSE YOUR TIER:


BASIC ($90) Starter RAG Agent

Ideal for simple proof-of-concept tasks.

Semantic Vector Search (Single PDF)

Streamlit UI Chatbot Frontend

Clean, modular source code


STANDARD ($180) Hybrid RAG Agent 

Highly recommended for accurate business data.

Hybrid Search (BM25 Keyword + Semantic)

Smart Router (Falls back to Web if PDF lacks data)

Eval script with accuracy proof


PREMIUM ($450) Production RAG System

Enterprise-ready pipeline built for scale.

All Standard features + Advanced Reranking

Multi-PDF processing & parsing

Docker containerized for instant cloud deployment


EVERY ORDER INCLUDES:

- Comprehensive README instructions

- Clean, thoroughly commented code

- Post-delivery support 


PERFECT FOR: Startups, researchers, and developers who need elite AI Q&A without expensive APIs.


Message before ordering to discuss your custom architecture!

Get to know Muhammad Umer

Muhammad Umer

Building Autonomous AI Agents Advanced RAG Systems

  • FromPakistan
  • Member sinceApr 2026
  • Languages

    English, Urdu
AI LLM-powered applications,AI agents RAG systems. What I deliver: LLM Chatbots — Groq, OpenAI, LLaMA integration RAG Systems — PDF chatbots, semantic search, Chroma Health & Domain-Specific AI assistant, codes mapping, SOAP notes ML Pipelines — classification, regression, prediction NLP — intent classification, BERT fine-tuning, extraction FastAPI + Streamlit deployment Stack: Python, LangChain, Groq API, HuggingFace, scikit-learn, FastAPI, Streamlit, pandas, SQL Production-ready code with clean documentation. Let's build your AI solution.

My Portfolio