# Perplexity Releases pplx-embed-v2-context-9b-preview: A Contextual Embedding Model That Retrieves Answers and Their Supporting Evidence

> **Publication**: aitalky (Independent AI Journalism)
> **Canonical Citation URL**: https://aitalky.vercel.app/news/perplexity-releases-pplx-embed-v2-context-9b-preview-a-contextual-embedding-model
> **Original Source**: [MarkTechPost](https://www.marktechpost.com/2026/09/30/perplexity-releases-pplx-embed-v2-context-9b-preview-a-contextual-embedding-model-that-retrieves-answers-and-their-supporting-evidence/)
> **Author**: Asif Razzaq (undefined)
> **Published Date**: Thursday, October 1, 2026
> **Category**: RESEARCH
> **Tags**: AI, MarkTechPost, research

## Executive Summary
Perplexity Research and turbopuffer have released pplx-embed-v2-context-9b-preview, a contextual embedding model for RAG pipelines. Each chunk is embedded with the full document in view. The real change is the training signal.



## Full Coverage
Perplexity Research and turbopuffer have released pplx-embed-v2-context-9b-preview, a contextual embedding model for RAG pipelines. Each chunk is embedded with the full document in view. The real change is the training signal

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