Gourmet Bistro — Multi-Agent AI Customer Service & Ordering System
Multi-agent LangChain restaurant assistant with Qdrant/Supabase RAG, Google Sheets dynamic pricing, order management with 5-min grace cancellation, and Telegram kitchen dispatch.
A question. A process.
Work you can explore.
Move from the project’s purpose to its available previews and source files.
Chapter 1 of 4 · The question
What this project explores.
Multi-agent LangChain restaurant assistant with Qdrant/Supabase RAG, Google Sheets dynamic pricing, order management with 5-min grace cancellation, and Telegram kitchen dispatch.
Follow the implementation.
- 01
Engineered a supervisory LangChain multi-agent router dispatching inquiries to 4 role-specialized sub-agents (Front Desk, Menu FAQ, Order Creation, and Cancellation).
- 02
Built order calculation logic querying Google Sheets pricing and persisting draft states into Supabase PostgreSQL.
- 03
Enforced business rules: strict 5-minute order cancellation window and Egyptian phone number validation before dispatching Telegram kitchen alerts.
- 01Customer message
- 02Agent routing
- 03Menu & order tools
- 04Kitchen dispatch
Look beyond the project summary.
The workflow overview describes the documented stages. Use the source files to inspect their implementation.
Choose where to look deeper.
Search the linked source inventory or narrow it to the kind of artifact you want to inspect. Files open at their original source.
The source
keeps moving.
Source updated
Multi-agent LangChain restaurant assistant with Qdrant/Supabase RAG, Google Sheets dynamic pricing, order management with 5-min grace cancellation, and Telegram kitchen dispatch.
Current README excerpt
Category: AI Chatbots & Conversational Commerce Multi-agent LangChain structure for restaurant customer service, RAG vector search, order creation, and kitchen dispatch.
A source excerpt, not an independently verified outcome.