An open-source multi-agent e-commerce recommendation system using RAG, semantic product search, personalized recommendations, product Q&A, and comparisons. Built with Python, FastAPI, LangChain, ChromaDB, Vue, PostgreSQL, and Redis.
Prices and medians update for the tier you select.
Ranked by how closely each one matches ecommerce-recommend-agent's job. Prices show each provider's Pro state; entry prices are labelled as such. Unpriced products still belong to the market.
Market = the products most similar to this one by capability; prices are median / quartiles over its priced members, separated by provider type and buyer tier.