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Jina AI
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@JinaAI_

Jina AI

@JinaAI_
Your Search Foundation, Supercharged! (acquired by @elastic Oct. 2025)
San Francisco, CA
jina.ai
Joined March 2020
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  • @JinaAI_
    Jina AI
    @JinaAI_
    May 12
    jina-embeddings-v5-omni is here! Our first universal embedding model for text, images, audio, and video. Available in two sizes: small (1.57B, 1024-dim, 32K context) and nano (0.95B, 768-dim, 8K context). Both support Matryoshka truncation down to 32 dimensions. v5-omni is
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  • @JinaAI_
    Jina AI
    @JinaAI_
    Mar 13
    Our official CLI for agents github.com/jina-ai/cli
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  • @JinaAI_
    Jina AI
    @JinaAI_
    Feb 19
    jina-embeddings-v5-text is here! Our fifth generation of jina embeddings, pushing the quality-efficiency frontier for sub-1B multilingual embeddings. Two versions: small & nano, available today on Elastic Inference Service, vLLM, GGUF and MLX.
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  • @JinaAI_
    Jina AI
    @JinaAI_
    Feb 11
    Most don't know (1) how easy it is to invert embedding vectors back into sentences, (2) this is a perfect task text diffusion models. Here's a 78M parameter model and live demo that recovers 80% of tokens from Qwen3-Embedding and EmbeddingGemma vectors. Works even on multilingual
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  • @JinaAI_
    Jina AI
    @JinaAI_
    Jan 27
    jina-reranker-v3 was the first listwise reranker to throw all documents into one context window (where traditional rerankers loop over ⟨q,d⟩ pairs) and let them fight it out via self-attention—what we call "last but not late" interaction. Bold or stupid? But not mediocre. Today
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