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Retrieval-Augmented Generation

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The New Stack Amazon Bedrock Amazon Web Services MarkTechPost OpenAI GraphRAG

Thursday, 1 October 2026

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

MarkTechPost 1 week ago 45

Perplexity Research and turbopuffer released pplx-embed-v2-context-9b-preview, a contextual embedding model for RAG that embeds each chunk while using the full document view. Training used roughly 430 datasets covering over 50 languages, and it can produce 1024- or 2048-dim embeddings with int8 quantization support. This shifts the learning signal from a single “gold passage” label to training that retrieves an answer along with evidence via a teacher–student distillation setup, with self-hosted preview weights on Hugging Face under the MIT license.

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AI Infrastructure Model Release Retrieval-Augmented Generation Embedding Models

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