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I will build and integrate a rag chatbot for you

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madhav_mangla
M
madhav_mangla
Madhav Mangla
build and integrate a rag chatbot for you
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build and integrate a rag chatbot for you
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build and integrate a rag chatbot for youbuild and integrate a rag chatbot for you

About this gig

I build AI chatbots and search tools that answer questions from your own documents, PDFs, or knowledge base not generic ChatGPT wrappers, but real retrieval-augmented generation (RAG) pipelines.

What I can build:

  • Chatbot that answers questions from your uploaded docs (PDFs, Word, markdown, websites)
  • Semantic search over large document sets using vector embeddings
  • Integration with OpenAI, Claude, or Gemini APIs
  • Custom knowledge base assistants for internal teams or customer support

I recently built DocMind, an open-source RAG documentation assistant using Python, ChromaDB, sentence-transformers, langchain and Gemini 2.5 Flash happy to share the repo.

  • Bot type

    • Customer Service & Support
    • Learning & Development
    • Food & Restaurant Services
    • News & Information Updates
    • Survey & Feedback Collection
    • Real Estate Assistance
    • Other

  • AI engine

    • DeepSeek
    • Gemini
    • Open AI GPT
    • Grok
    • LangChain
    • LLaMA
    • Variational Autoencoders (VAEs)
    • Claude.ai
    • ChatGPT
    • Ollama

  • Programming language

    • Python

  • Tools & frameworks

    • Pinecone
    • Hugging Face
    • LangChain

  • Platforms

    • WhatsApp
    • Telegram
    • Instagram
    • SMS/Text Messaging
    • Websites

Get to know Madhav Mangla

Madhav Mangla
  • FromIndia
  • Member sinceJun 2025
  • Avg. response time1 hour

  • Languages

    Hindi, English, Punjabi
I've built DevMind, a personalized developer copilot using RAG, AI agents, and MCP architecture. I also created Cmart, a full-stack campus marketplace with real-time chat and bidding, built with React, TypeScript, Supabase, and FastAPI. Another passion project is Manglang, a custom interpreted language in Python. My expertise lies in full-stack development, AI systems, agent architectures, and building practical developer tools.

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