I will build an ai assistant with rag agents and an interactive chat widget

M
mohlondon
M
mohlondon
Baba Hadj Said
build an ai assistant with rag agents and an interactive chat widget
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build an ai assistant with rag agents and an interactive chat widget
Full Screen
Full Screen
build an ai assistant with rag agents and an interactive chat widgetbuild an ai assistant with rag agents and an interactive chat widgetbuild an ai assistant with rag agents and an interactive chat widget

About this gig

Most chatbots just answer questions. I build assistants that do things inside your product: ask follow-up questions, search your data, show results as cards, and let users pick options, book time slots, or confirm actions without leaving the chat.


I've built a multi-agent healthcare assistant for a client platform, with routing between specialized agents, RAG-powered search, multimodal document understanding (uploaded files and images), and an embeddable chat widget with forms, cards and calendars. In my day job I lead a team shipping containerized AI assistants with RAG and custom MCP servers.


Stack: Python, FastAPI, Agno or similar agent frameworks, your choice of LLM provider, Vue or React widget.

  • Bot type

    • Customer Service & Support
    • E-commerce & Payments
    • Scheduling & Assistance
    • Health & Wellness
    • Food & Restaurant Services
    • Real Estate Assistance

  • AI engine

    • DeepSeek
    • Gemini
    • Open AI GPT
    • Claude.ai
    • ChatGPT
    • Other

  • Programming language

    • C
    • C++
    • JavaScript
    • Python
    • TypeScript
    • React

  • Tools & frameworks

    • n8n
    • Hugging Face
    • Telegram API
    • LangChain
    • Other

  • Platforms

    • WhatsApp
    • Telegram
    • Websites
    • Mobile Apps

Get to know Baba Hadj Said

Baba Hadj Said

Full Stack Web Developer and AI Engineer

  • FromItaly
  • Member sinceNov 2019

  • Languages

    English
I build production-ready full-stack web apps, APIs, AI assistants and computer-vision pipelines. Frontend: React, Vue, Tailwind CSS, MUI and Vite. Backend: Python, FastAPI, Pydantic, SQLAlchemy, REST APIs and WebSockets. Data: PostgreSQL, TimescaleDB and SQLite. DevOps: Docker, nginx, Linux, GitHub Actions, Azure DevOps and Oracle Cloud. AI and robotics: RAG, Agno, MCP servers, PyTorch, OpenCV, ROS, SLAM, COLMAP and 3D Gaussian Splatting. My work spans secure admin tools, CMS workflows, cloud deployment and modular integrations.

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