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Learn how embedding models work in AI search engines like Perplexity, and how they help find the most relevant information by understanding the meaning behind words.
Perplexity AI has open-sourced two new text embedding models that match or exceed Google and Alibaba's performance at a fraction of the memory cost.
Perplexity has released pplx-embed, a new collection of multilingual embedding models optimized for large-scale retrieval tasks. The models feature bidirectional attention and diffusion-based training, enhancing their performance in web-scale applications.
