{
  "generatedAt": "2026-05-13T21:09:32.444Z",
  "studies": [
    {
      "slug": "jina-v5-omni-image-caption-umap",
      "title": "Jina v5 Omni Image-Caption Embedding Map",
      "summary": "6 image-caption pairs from a small Hugging Face dataset, embedded in one multimodal space and projected with UMAP.",
      "href": "/studies/jina-v5-omni-image-caption-umap",
      "kind": "",
      "updatedAt": "2026-05-13T21:09:32.444Z",
      "bytes": 301341
    },
    {
      "slug": "jina-v5-omni-multilingual-umap",
      "title": "Jina v5 Omni Multilingual Embedding Map",
      "summary": "A local run of jinaai/jina-embeddings-v5-omni-small embeds translated Tatoeba phrases into the same vector space. UMAP turns the high-dimensional vectors into this two-dimensional map; each faint line ties translations of the same English source sentence across languages.",
      "href": "/studies/jina-v5-omni-multilingual-umap",
      "kind": "sentence-transformers/parallel-sentences-tatoeba",
      "updatedAt": "2026-05-14 02:30:36 IST",
      "bytes": 65091
    }
  ]
}