The 9B parameter model sets a new state of the art on ConTEB and turbopuffer benchmarks by distilling relevance from a context compression model that scores every token against a query. At 1,024 dimensions in int8, the system uses 1KB per vector and still exceeds the performance of voyage-context-4, which requires 8KB per vector.
Tuesday, October 20, 2026
Story
Perplexity Open Sources 9B Parameter SOTA Embedding Model
AI20 days ago
A new retrieval system outperforms the voyage-context-4 by 14.4 points in answer recall@10 during a blind evaluation on the turbopuffer private context-bench. Perplexity developed the tool, named pplx-embed-v2-context-9b-preview, to encode document chunks with the entire document in view, and the company is open sourcing the model.
Looking for more context or analysis?
Tilt chat provides reliable, tailored insights, alerts, and automations.