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Today we're releasing two embedding model families, pplx-embed-v1 and pplx-embed-context-v1.

These SOTA embedding APIs are designed specifically for real-world, web-scale retrieval.

https://t.co/fUUasIGhYX

TestingCatalog News 🗞

Perplexity has released two new embedding models: pplx-embed-v1 and pplx-embed-context-v1, designed for real-world, web-scale retrieval tasks. Both models are available in 0.6B and 4B parameter variants and can be accessed via HuggingFace and the Perplexity API.

Perplexity released two embedding models, pplx-embed-v1 and pplx-embed-context-v1, for real-world, web-scale retrieval.

Both models are available in 0.6B and 4B parameter variants via the HuggingFace and Perplexity APIs. https://t.co/YAmyIlmLvg https://t.co/O5ybZBcoG6

<p>Perplexity released two embedding models, pplx-embed-v1 and pplx-embed-context-v1, for real-world, web-scale retrieval.

Both models are available in 0.6B and 4B parameter variants via the HuggingFace and Perplexity APIs. https://t.co/YAmyIlmLvg https://t.co/O5ybZBcoG6</p>

Perplexity released two embedding models, pplx-embed-v1 and pplx-embed-context-v1, for real-world, web-scale retrieval. Both models are available in 0.6B and 4B parameter variants via the HuggingFace and Perplexity APIs. https://t.co/YAmyIlmLvg https://t.co/O5ybZBcoG6