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We have benchmarked popular latent encoder models for k-NN text search. Here are the results.Aquila X Matthew Ball bookmarks screenshotWith today’s advancements in NLP architectures, now we can build consumer-quality semantic search engines that are very good at matching sentences by their meaning. At aquila network, we’ve decided to benchmark popular pre-trained models available out there for free. And here are the results:NLP sentence encoder models for semantic search (accuracy benchmark)Inte...