AI models
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Models found: 2
Embedding / retrieval
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- Embedding / retrievalOpen weights
EmbeddingGemma 2
EmbeddingGemma 2 turns text, code, images, video and audio into search vectors in a shared space. Use it to retrieve evidence for a RAG answer or find related material across formats. The full 740M-parameter model is downloadable under Apache 2.0; text-only loading uses 270M parameters. A separate generative model writes the answer from the retrieved evidence.
- Embedding / retrievalOpen weights
pplx-embed-v2-late
pplx-embed-v2-late retrieves text, images and visual document pages using a vector for each token. Perplexity publishes MIT-licensed 0.6B and 9B checkpoints. The smaller model can query an index built by the larger one, letting you spend more compute while indexing and keep query encoding lighter.