Perplexity's contextual embedding model for RAG retrieval, encoding document chunks with surrounding context and supporting 2048 and Matryoshka 1024 dimensional INT8 embeddings.
EmbeddingGemma 2 is Google's sub 1B open multimodal embedding model for semantic retrieval across text, code, images, video and audio in a shared 768 dimensional vector space.
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