How to Build Advanced AI Ecommerce Agents using Flowise, Postgres and N8N (Text-to-SQL) | Part 1

Описание к видео How to Build Advanced AI Ecommerce Agents using Flowise, Postgres and N8N (Text-to-SQL) | Part 1

► Clone/Copy this Agentflow and Download the Code:
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Ecommerce AI Agents are here and ready to take over your website chat...

Take your ecommerce business to the next level with AI-powered product recommendations. In this video, you'll learn how to build an advanced ecommerce AI agent that can understand customer conversations and recommend products in real-time.

In this video, you'll learn how to build an AI agent that uses text-to-sql techniques and few shot learning to search a Postgres database to retrieve product catalog information.

With the help of Flowise and N8N Workflows, you can create an personalized ecommerce agent that can interact with customers and make suggestions based on what the customer is searching for.

This was an exciting project and demonstrates what's possible with Ecommerce when you use SQL Databases with AI and N8N Automations.

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