Hey! So, I recently worked on this cool proof of concept (POC) where I tried to combine product embeddings with OpenSearch to enable a k-nearest neighbours (k-NN) search. Basically, I wanted to see if I could make searching through a product catalog smarter by using embeddings (which are essentially vector representations of the product information) instead of just basic text … [Read more...] about Building Semantic Search for E-commerce Using Product Embeddings and OpenSearch
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