Perplexity's Embedding Models Share a Vector Space, Enabling Cross-Model Retrieval
antoine_chaffin · x · 2026-10-08
- Perplexity's new embedding model family shares one vector space across sizes, enabling cross-model retrieval: query a 9B-built index with the 0.6B model.
- Their evals show the small model querying the big index clearly beats symmetric 0.6B retrieval at no query-time cost, closing roughly half the gap to symmetric 9B querying.
- The setup cuts latency in production and unlocks retrieval on edge devices.
Related event: Perplexity Open-Sources Multimodal Embedding Models pplx-embed-v2-late(38 posts)→
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