Загрузка...

Building a Resilient WhatsApp AI Agent with LangGraph & n8n (Production-Ready)

"BEYOND THE CHATBOT: ENGINEERING AGENTIC INFRASTRUCTURE"

In this unedited demo, I showcase a production-ready WhatsApp AI Agent designed for enterprise-grade reliability. This isn't just a simple GPT integration—it's a multi-agent system built for complex business logic.

-- KEY TECHNICAL HIGHLIGHTS --

ORCHESTRATION: Powered by a LangGraph multi-agent state engine for persistent, non-linear logic.

RAG IMPLEMENTATION: Seamless product data retrieval using a Vector Database.

INFRASTRUCTURE: Fully automated backend workflows using n8n and deployed on Fly.io.

SAFETY & GUARDRAILS: Built-in intent routing to prevent hallucinations and trigger Human Escalation via automated email.

-- ARCHITECTURE STACK --

Frontend: WhatsApp Business UI

Brain: LangGraph (Multi-agent)

Workflow: n8n

Database: Supabase & Vector DB

If you are looking for an AI Architect to bridge the gap between "Cool AI" and "Production AI," let’s connect.

#AIEngineering #LangGraph #n8n #AIInfrastructure #DevOps #TheAIIntegrators

Видео Building a Resilient WhatsApp AI Agent with LangGraph & n8n (Production-Ready) канала The AI Integrators
Яндекс.Метрика
Все заметки Новая заметка Страницу в заметки
Страницу в закладки Мои закладки
На информационно-развлекательном портале SALDA.WS применяются cookie-файлы. Нажимая кнопку Принять, вы подтверждаете свое согласие на их использование.
О CookiesНапомнить позжеПринять