rag-llm-based-recommender and llm-based-recommender

Maintenance 2/25
Adoption 6/25
Maturity 16/25
Community 10/25
Maintenance 2/25
Adoption 7/25
Maturity 8/25
Community 17/25
Stars: 15
Forks: 2
Downloads:
Commits (30d): 0
Language: TypeScript
License: MIT
Stars: 30
Forks: 8
Downloads:
Commits (30d): 0
Language: Python
License:
Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About rag-llm-based-recommender

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.

e-commerce product-recommendation customer-experience online-retail sentiment-analysis

About llm-based-recommender

amine-akrout/llm-based-recommender

AI-powered fashion recommendation system leveraging LLMs, embeddings, and retrieval techniques to deliver personalized shopping experiences.

This project helps e-commerce businesses provide personalized fashion recommendations and answer customer product questions using an AI chatbot. It takes your fashion product data as input and delivers tailored product suggestions and real-time responses to customer queries, enhancing the online shopping experience. E-commerce managers, online store owners, and customer service teams would find this useful.

e-commerce fashion-retail customer-service-automation product-recommendation online-shopping-experience

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