October 7th 2026, 4:13 PM
Multimodal Search Revolutionized
Key Summary
Perplexity AI has released two new embedding models, pplx-embed-v2-late, for multimodal search, which can handle retrieval across text, images, and visual documents. The models use a late-interaction architecture and can be queried using a lightweight 0.6B model with a 9B-indexed corpus, making them efficient for web-scale applications.
Please see our real time news feed on our Home Page
Perplexity AI's New Models
Perplexity AI's new pplx-embed-v2-late models offer cost-effective and high-quality multimodal search capabilities for document retrieval.Multimodal Search Revolutionized
These models could revolutionize the way we search for documents, providing a more efficient and effective solution for users.Implications for the Industry
The release of these models marks a significant milestone in the development of multimodal search technology, with potential applications in various industries such as academia, research, and business.#AI#MultimodalSearch#PerplexityAI#LateInteraction#MultilingualSupport#MultimodalEmbeddings