Lanex Chatbot
Lanex Chatbot is an advanced AI-powered conversational platform designed to help organizations transform their data into intelligent, real-time interactions. Built on a robust Retrieval-Augmented Generation (RAG) architecture, the system combines high-performance vector search, scalable backend infrastructure, and multilingual conversational AI to deliver accurate and context-aware responses across multiple industries. The platform is designed with a powerful multi-tenant architecture, allowing different organizations such as universities, businesses, healthcare providers, and technical companies to securely operate within the same system while keeping their data completely isolated. Through intelligent metadata filtering and tenant-specific retrieval pipelines, users only access information relevant to their organization. Lanex Chatbot also introduces a flexible “Source Adapter” framework that makes the platform highly adaptable. Whether the data comes from academic websites, technical documentation, company portals, or custom knowledge bases, the system can easily integrate and process information without major architectural changes. This allows businesses to rapidly deploy AI assistants tailored to their industry needs. To ensure a seamless global experience, the platform supports multiple languages and modern accessibility standards. Features such as multilingual fallback responses, semantic UI structures, keyboard navigation support, and ARIA accessibility integrations make the chatbot usable for diverse audiences worldwide. Powered by FastAPI, Qdrant vector search, Next.js, React Query, and advanced AI orchestration, Lanex Chatbot is built for scalability, speed, and production-ready deployment. The architecture supports future expansion through background task processing, distributed AI load balancing, and scalable cloud infrastructure. Lanex Chatbot is more than a chatbot — it is a scalable enterprise AI ecosystem designed to provide intelligent support, improve knowledge accessibility, and enhance user engagement across industries.
Team structure
Lead
lead
Architect
Backend Engineer
Frontend Engineer
Mission
Create a chatbot for universities that will scrape data from there universities official website and use it as memory base, the chatbot will be user friendly and will response to student questions based on the information on the website. Allow multiple languages , make it accessible globally, allow optimization in case I want to use it for other industry.
The team
lead
Team Lead
Team management, task planning, delegation, and monitoring
Architect
Design overall system architecture, choose tech stack, ensure modularity and scalability.
Backend Engineer