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I will develop a custom ai chatbot using llm, langchain and rag
Qazi M.
Level 2
About this gig
Build a custom AI chatbot or AI agent using OpenAI GPT, Claude, Gemini, Llama, LangChain, LangGraph, and RAG to automate customer support, sales, knowledge retrieval, and business workflows.
I develop intelligent, production-ready AI chatbot solutions for websites, SaaS platforms, mobile apps, and CRMs. Using RAG, vector databases, and LLMs, your chatbot delivers accurate, context-aware, and human-like responses from your own documents and knowledge base.
What You'll Get:
- Custom AI chatbot or AI agent
- OpenAI GPT, Claude, Gemini & Llama integration
- RAG document retrieval
- LangChain & LangGraph workflows
- Pinecone, FAISS or Weaviate integration
- CRM, API & third-party integrations
- Multi-language support
- Secure deployment with source code
Ideal For:
Customer support, AI assistants, FAQ bots, Knowledge base chatbots, SaaS onboarding, Sales automation, Workflow automation
Let's build a secure, scalable AI chatbot that improves customer experience, automates repetitive tasks, and grows your business.
Get to know Qazi M.
Qazi M.
Machine Learning : Computer Vision : OCR : Object Detection : Chatbot
Level 2
- FromPakistan
- Member sinceJun 2024
- Avg. response time1 hour
- Last delivery6 months
Languages
Urdu, English
Senior AI/ML Engineer | 8+ Years Experience | 5 Rating | Level 2 Seller | 20 Successfully Delivered Projects
I build fast, accurate, production-ready AI systems that solve real business problems. Specializing in Computer Vision, OCR, object detection, image segmentation, tracking, and AI chatbots using Python, PyTorch, TensorFlow, OpenCV, YOLO, and LLMs. I deliver complete end-to-end ML solutions from data preparation to deployment with a focus on real-world performance, scalability, and reliability. Let’s build something impactful.
My Portfolio
FAQ
1. Can you integrate the AI chatbot or AI agent with my website, app, or SaaS platform?
Yes! I support deployment to websites, web apps, SaaS platforms, and popular messaging apps (WhatsApp, Slack, Discord, Telegram, etc.).
What is RAG, and why should my AI chatbot use it
RAG (Retrieval-Augmented Generation) combines LLMs with external knowledge sources, enabling the chatbot to provide up-to-date and context-aware answers from your own documents or databases.
3. Can you create ai chatbots that handle multiple document types and languages?
Absolutely. Your chatbot can process and retrieve from multiple files (PDF, DOCX, TXT) and support multiple languages upon request.
4. Is my data secure during development?
Yes, I prioritize your privacy. All your data and documents are handled securely and never shared with third parties.
5. Do you offer ongoing support or future enhancements?
Yes, ongoing maintenance, upgrades, and new features are available as add-ons or custom orders.
