I’m ready to move a Retrieval-Augmented Generation chatbot from concept to production and need a developer who can own the entire flow—from data retrieval right through to a polished, corporate-grade interface. Here’s what I’m looking for: • Front-end: Build a modern UI in Python (e.g., Streamlit, FastAPI with Jinja, or a comparable Python-based framework). The look should feel clean and professional, matching a corporate design language. If you prefer React, Angular, or Vue, that’s fine as long as it cleanly talks to the back-end and preserves the corporate aesthetic. • RAG pipeline: Implement a robust retrieval layer (vector store or hybrid search), connect it to the LLM of choice, and ensure responses are properly grounded in the source documents. • Multilingual support: Users will switch languages on the fly, so both the UI text and the underlying model calls must adapt seamlessly. • API integration: Expose the chatbot as a REST/JSON endpoint so other apps can consume it. Clean routing, authentication hooks, and versioning are expected. • Documentation: Inline docstrings plus a concise README that walks through environment setup, model weights or endpoints used, and deployment instructions. Acceptance criteria 1. UI loads with corporate theme, toggles language successfully. 2. RAG answers cite source passages accurately, with latency under two seconds for average queries. 3. /chat endpoint returns structured JSON and handles error states gracefully. 4. Repository is self-contained, installs with `pip install -r requirements.txt`, and passes the provided test script. If this aligns with your skill set, let’s talk timelines and milestones so we can get the build underway.