polarbear333/rag-llm-based-recommender
Explore a smarter way to shop online with this full-stack project built on the infrastructure of Google Cloud Platform (GCP) for RAG based e-commerce with LLM.
This project offers an intelligent e-commerce recommender system that uses customer reviews to provide highly relevant product suggestions. It takes natural language queries and historical Amazon review data, then provides personalized product recommendations, key features, and sentiment analysis for each item. This is designed for e-commerce managers or online retailers looking to enhance their customer's shopping experience and boost product discovery.
No commits in the last 6 months.
Use this if you want to offer customers a more intuitive, chat-based shopping experience with recommendations informed by detailed review sentiment.
Not ideal if you need a simple, rule-based recommendation engine or if your product data lacks rich customer reviews.
Stars
15
Forks
2
Language
TypeScript
License
MIT
Category
Last pushed
Sep 26, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/polarbear333/rag-llm-based-recommender"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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