Topic

Framework Tutorials: E-commerce Search & Recommendations

6 posts on framework tutorials: e-commerce search & recommendations — part of framework tutorials on the n4n AI blog.

E-commerce chatbot: from search to checkout with LangChain

Hands-on ecommerce chatbot search to checkout langchain tutorial: build semantic search, tool-calling agent, cart and checkout with runnable Python code.

July 19, 20262 min read

Framework tutorialsTutorial

Building semantic product search with LlamaIndex

Step-by-step tutorial to build semantic product search with LlamaIndex using local embeddings, metadata filters, and persistence for e-commerce catalogs.

July 19, 20263 min read

Framework tutorialsTutorial

Building a shopping assistant agent with LangGraph

Build a shopping assistant agent langgraph in this hands-on tutorial: product search, recommendation reasoning, and tool-calling with LangGraph.

July 19, 20263 min read

Framework tutorialsTutorial

Building a find-similar-products feature with LlamaIndex

Hands-on tutorial: implement a find similar products LlamaIndex feature for e-commerce using vector embeddings, metadata filters, and persistence.

July 19, 20262 min read

Framework tutorialsTutorial

AI-powered product recommendations with LangChain

Hands-on tutorial: build AI-powered product recommendations with LangChain using a vector store and LLM chain, from catalog embedding to ranked output.

July 19, 20263 min read

Framework tutorialsTutorial

A product Q&A chatbot from your catalog with LangChain

Build a product Q&A chatbot from your catalog with LangChain using RAG. Step-by-step tutorial with runnable code for ecommerce retrieval and chat.

July 19, 20262 min read