yuniko-software/go-qdrant-rag-sample
This repository contains a Go application that demonstrates semantic product search and Retrieval-Augmented Generation using OpenAI's GPT and embedding models, with Qdrant as the vector database.
This application helps online retailers or e-commerce managers enhance their product search. You provide product details in a CSV file, and it automatically creates a smart search system. The output is a web service that allows customers to find products using natural language or get detailed answers about products from your catalog.
No commits in the last 6 months.
Use this if you need to quickly set up a semantic product search and question-answering system for your online catalog, allowing customers to use natural language queries.
Not ideal if you require a complex, production-ready e-commerce search platform with advanced features like faceted search, personalization, or real-time inventory updates.
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Go
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Apr 13, 2025
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