Building an AI-Powered E-commerce Chatbot with LangChain and Gemini

#langchain #gemini #ai #rag

In this blog post, we’ll build an AI-powered chatbot for e-commerce customer support using LangChain and Google’s Gemini AI. This chatbot will provide real-time responses by fetching data from a PostgreSQL database. You’ll learn how to integrate an AI model that dynamically generates SQL queries to retrieve product and order information, using this data as context to deliver accurate, relevant answers. Unlike our previous RAG-based app, which used a vector database for context retrieval, here we’ll leverage Supabase to manage our product and order data — allowing the AI to query the database and generate responses

Let's get started with the code we will build a Fastapi application.

Please read this post in our website
Building an AI-Powered E-commerce Chatbot with LangChain and Gemini

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