pplx-embed

pplx-embed is a family of open-weight text embedding models developed by Perplexity for web-scale first-stage retrieval. The family includes two model types: pplx-embed-v1, designed for standard dense text retrieval, and pplx-embed-context-v1, which embeds passages with respect to surrounding document-level context (late chunking). Each model is available at 0.6B and 4B parameter scales. Perplexity uses these models as the initial retrieval stage for its own search architecture, filtering documents from web-scale crawls before passing candidates to downstream rerankers and language models.