Introducing Our Smart Product Recommender – Powered by AI and Vector Search

💡 Introducing Our Smart Product Recommender – Powered by AI and Vector Search
We are excited to share a short demo of our Smart Product Recommender – a system we built to transform the way users discover products. 🎉
This solution leverages:
✅ OpenAI Embeddings (text-embedding-ada-002) to convert product descriptions and user interests into dense vectors
✅ Qdrant, a blazing-fast vector database, for real-time similarity search
✅ Cosine Similarity to measure the semantic closeness between products and user interests
✅ A clean and modular .NET 8 backend, React frontend, and vector-based recommendation logic for maximum flexibility and scalability
This is just the beginning. We’re already exploring applications in e-commerce, real estate, B2B marketplaces, and more.
📽️ Watch the demo to see how the recommendations adapt dynamically based on user input.
We’re open to feedback, collaborations, and ideas!
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