I will build a generative ai chatbot using rag for your business or documents

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Hasan Raza Ali
build a generative ai chatbot using rag for your business or documents
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build a generative ai chatbot using rag for your business or documents
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build a generative ai chatbot using rag for your business or documentsbuild a generative ai chatbot using rag for your business or documentsbuild a generative ai chatbot using rag for your business or documents

About this gig

Hello!

Are you looking to build an AI chatbot that can answer questions from your documents, knowledge base, or website?

I will build a custom Generative AI chatbot using Retrieval-Augmented Generation (RAG) that can understand and answer questions from your business data.

Unlike simple chatbots, a RAG-based AI assistant retrieves information from your documents and generates accurate responses using large language models.

This makes it ideal for customer support, internal knowledge assistants, document search, and intelligent Q&A systems.

With my experience in Data Science, AI, and enterprise analytics, I can help you deploy practical AI solutions for your business.

  • Bot type

    • Customer Service & Support
    • Scheduling & Assistance

  • AI engine

    • Gemini
    • Open AI GPT
    • Grok
    • LangChain
    • LLaMA
    • ChatGPT
    • Ollama

  • Programming language

    • Python
    • TensorFlow
    • Keras

  • Tools & frameworks

    • Botpress
    • n8n

  • Platforms

    • Websites
    • Twitter

Get to know Hasan Raza Ali

Hasan Raza Ali

IBM Certified Data Scientist AI and Business Analytics Expert

  • FromPakistan
  • Member sinceMar 2025

  • Languages

    English
Hasan is a highly skilled Data Science and Machine Learning expert with extensive experience in developing AI-driven solutions for businesses. He specializes in data analytics, predictive modeling, and automation to enhance decision-making and efficiency. As a Senior Lead AI & Data Science at IBM / Kyndryl, Hasan collaborates with global clients to design and deploy machine learning models, optimize data pipelines, and drive AI innovation.

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