{
  "id": "google:embeddinggemma 2:52490",
  "language": "ta",
  "url": "https://alexgetman.com/ta/signals/2026/10/06/embeddinggemma-2-2/",
  "title": "EmbeddingGemma 2: திறந்த எடைகள்",
  "summary": "EmbeddingGemma 2: திறந்த எடைகள் (2026-10-06). இதன் எடைகள் பொதுவில் கிடைக்கின்றன. சூழல் சாளரத்தின் அளவு 8,192 டோக்கன்கள். 4 ஆதார இணைப்புகள்.",
  "kind": "launch",
  "publication": {
    "listed": true,
    "kind": "launch",
    "placement": "news",
    "event": "weights_release"
  },
  "presentation": {
    "primary_change": "release",
    "featured_facts": [
      "context",
      "inputs",
      "outputs"
    ]
  },
  "observation": null,
  "lifecycle": [],
  "release_scope": "open_weights",
  "review": {
    "anchor_event_id": 52490,
    "checked_at": "2026-11-03T20:41:34.415518+00:00",
    "claim_type": "release",
    "release_scope": "open_weights",
    "evidence": [
      {
        "url": "https://blog.google/innovation-and-ai/technology/developers-tools/embeddinggemma-2/",
        "supports": "October 6 release of the open multimodal embedding model; DeepMind source redirects to this same article.",
        "authority": "primary"
      },
      {
        "url": "https://huggingface.co/google/embeddinggemma-2",
        "supports": "The exact Google maker checkpoint is released under Apache 2.0. It accepts text, images, audio and video, with an 8192-token context and 768-dimensional vector output. Self-hosting examples do not establish hosted API availability.",
        "authority": "primary"
      }
    ]
  },
  "vendor": "Google",
  "confidence": "supported",
  "first_seen_at": "2026-10-06T15:37:45.690Z",
  "model_first_seen_at": "2026-10-06T15:37:45.690Z",
  "canonical_model_id": "google/embeddinggemma-2",
  "model_identity": {
    "id": "google/embeddinggemma-2",
    "name": "EmbeddingGemma 2",
    "maker": {
      "id": "google",
      "name": "Google"
    },
    "version": "2",
    "checkpoint": null,
    "first_seen_at": "2026-10-06T15:37:45.690Z"
  },
  "offers": [],
  "dates": [
    {
      "kind": "model_release",
      "scope": {
        "kind": "model",
        "id": "embeddinggemma-2"
      },
      "at": {
        "precision": "day",
        "value": "2026-10-06"
      },
      "release_scope": "open_weights",
      "selected": true,
      "evidence": [
        {
          "source": "review",
          "url": "https://blog.google/innovation-and-ai/technology/developers-tools/embeddinggemma-2/",
          "authority": "primary",
          "scope": {
            "kind": "model",
            "id": "embeddinggemma-2"
          },
          "detected_at": null,
          "checked_at": "2026-11-03T20:41:34.415518Z"
        }
      ]
    },
    {
      "kind": "weights_release",
      "scope": {
        "kind": "signal",
        "id": "google:embeddinggemma 2:52490"
      },
      "at": {
        "precision": "day",
        "value": "2026-10-06"
      },
      "release_scope": "open_weights",
      "selected": true,
      "evidence": [
        {
          "source": "review",
          "url": "https://blog.google/innovation-and-ai/technology/developers-tools/embeddinggemma-2/",
          "authority": "primary",
          "scope": {
            "kind": "signal",
            "id": "google:embeddinggemma 2:52490"
          },
          "detected_at": "2026-10-06T15:37:45.690Z",
          "checked_at": "2026-11-03T20:41:34.415518Z"
        },
        {
          "source": "review",
          "url": "https://huggingface.co/google/embeddinggemma-2",
          "authority": "primary",
          "scope": {
            "kind": "signal",
            "id": "google:embeddinggemma 2:52490"
          },
          "detected_at": "2026-10-06T15:37:45.690Z",
          "checked_at": "2026-11-03T20:41:34.415518Z"
        }
      ]
    }
  ],
  "released_at": "2026-10-06T00:00:00.000Z",
  "updated_at": "2026-11-14T18:15:07.820Z",
  "model": {
    "id": "google/embeddinggemma-2",
    "name": "EmbeddingGemma 2",
    "url": "https://alexgetman.com/ta/models/google/embeddinggemma-2-831/"
  },
  "facts": {
    "context_window": 8192,
    "max_output_tokens": null,
    "input_modalities": [
      "text",
      "image",
      "audio",
      "video"
    ],
    "output_modalities": [
      "embedding"
    ],
    "open_weights": true,
    "usd_per_million": {
      "input": null,
      "output": null,
      "cached_input": null
    },
    "prices": {
      "currency": "USD",
      "unit": "per_million_tokens",
      "input": null,
      "output": null,
      "cached_input": null
    },
    "observed_at": "2026-11-03T20:41:34.415Z",
    "output_kind": "embedding",
    "provenance": {
      "context": {
        "key": "contextWindow",
        "observed_at": "2026-11-03T20:41:34.415Z",
        "story_updated_at": "2026-11-14T18:15:07.820Z",
        "evidence": [
          {
            "source": "review",
            "url": "https://blog.google/innovation-and-ai/technology/developers-tools/embeddinggemma-2/",
            "authority": "primary",
            "scope": {
              "kind": "model",
              "id": "embeddinggemma-2"
            },
            "detected_at": null,
            "checked_at": "2026-11-03T20:41:34.415518Z"
          }
        ]
      },
      "display_name": {
        "key": "displayName",
        "observed_at": "2026-11-03T20:41:34.415Z",
        "story_updated_at": "2026-11-14T18:15:07.820Z",
        "evidence": [
          {
            "source": "review",
            "url": "https://blog.google/innovation-and-ai/technology/developers-tools/embeddinggemma-2/",
            "authority": "primary",
            "scope": {
              "kind": "model",
              "id": "embeddinggemma-2"
            },
            "detected_at": null,
            "checked_at": "2026-11-03T20:41:34.415518Z"
          }
        ]
      },
      "inputs": {
        "key": "inputModalities",
        "observed_at": "2026-11-03T20:41:34.415Z",
        "story_updated_at": "2026-11-14T18:15:07.820Z",
        "evidence": [
          {
            "source": "review",
            "url": "https://blog.google/innovation-and-ai/technology/developers-tools/embeddinggemma-2/",
            "authority": "primary",
            "scope": {
              "kind": "model",
              "id": "embeddinggemma-2"
            },
            "detected_at": null,
            "checked_at": "2026-11-03T20:41:34.415518Z"
          }
        ]
      },
      "open_weights": {
        "key": "openWeights",
        "observed_at": "2026-11-03T20:41:34.415Z",
        "story_updated_at": "2026-11-14T18:15:07.820Z",
        "evidence": [
          {
            "source": "review",
            "url": "https://blog.google/innovation-and-ai/technology/developers-tools/embeddinggemma-2/",
            "authority": "primary",
            "scope": {
              "kind": "model",
              "id": "embeddinggemma-2"
            },
            "detected_at": null,
            "checked_at": "2026-11-03T20:41:34.415518Z"
          }
        ]
      },
      "outputs": {
        "key": "outputModalities",
        "observed_at": "2026-11-03T20:41:34.415Z",
        "story_updated_at": "2026-11-14T18:15:07.820Z",
        "evidence": [
          {
            "source": "review",
            "url": "https://blog.google/innovation-and-ai/technology/developers-tools/embeddinggemma-2/",
            "authority": "primary",
            "scope": {
              "kind": "model",
              "id": "embeddinggemma-2"
            },
            "detected_at": null,
            "checked_at": "2026-11-03T20:41:34.415518Z"
          }
        ]
      },
      "provider": {
        "key": "provider",
        "observed_at": "2026-11-03T20:41:34.415Z",
        "story_updated_at": "2026-11-14T18:15:07.820Z",
        "evidence": [
          {
            "source": "review",
            "url": "https://blog.google/innovation-and-ai/technology/developers-tools/embeddinggemma-2/",
            "authority": "primary",
            "scope": {
              "kind": "model",
              "id": "embeddinggemma-2"
            },
            "detected_at": null,
            "checked_at": "2026-11-03T20:41:34.415518Z"
          }
        ]
      },
      "release_date": {
        "key": "releaseDate",
        "observed_at": "2026-11-03T20:41:34.415Z",
        "story_updated_at": "2026-11-14T18:15:07.820Z",
        "evidence": [
          {
            "source": "review",
            "url": "https://blog.google/innovation-and-ai/technology/developers-tools/embeddinggemma-2/",
            "authority": "primary",
            "scope": {
              "kind": "model",
              "id": "embeddinggemma-2"
            },
            "detected_at": null,
            "checked_at": "2026-11-03T20:41:34.415518Z"
          }
        ]
      },
      "release_precision": {
        "key": "releasePrecision",
        "observed_at": "2026-11-03T20:41:34.415Z",
        "story_updated_at": "2026-11-14T18:15:07.820Z",
        "evidence": []
      },
      "release_scope": {
        "key": "releaseScope",
        "observed_at": "2026-11-03T20:41:34.415Z",
        "story_updated_at": "2026-11-14T18:15:07.820Z",
        "evidence": []
      }
    }
  },
  "forge_facts": [
    {
      "key": "contextWindow",
      "value": 8192,
      "observed_at": "2026-11-03T20:41:34.415Z"
    },
    {
      "key": "displayName",
      "value": "EmbeddingGemma 2",
      "observed_at": "2026-11-03T20:41:34.415Z"
    },
    {
      "key": "embeddingDimensions",
      "value": 768,
      "observed_at": "2026-11-03T20:41:34.415Z"
    },
    {
      "key": "generatesTokens",
      "value": false,
      "observed_at": "2026-11-03T20:41:34.415Z"
    },
    {
      "key": "inputModalities",
      "value": [
        "text",
        "image",
        "audio",
        "video"
      ],
      "observed_at": "2026-11-03T20:41:34.415Z"
    },
    {
      "key": "modelType",
      "value": "embedding",
      "observed_at": "2026-11-03T20:41:34.415Z"
    },
    {
      "key": "openWeights",
      "value": true,
      "observed_at": "2026-11-03T20:41:34.415Z"
    },
    {
      "key": "openWeights:kaggle:google",
      "value": true,
      "observed_at": "2026-11-12T15:43:45.684Z"
    },
    {
      "key": "outputKind",
      "value": "embedding_vectors",
      "observed_at": "2026-11-03T20:41:34.415Z"
    },
    {
      "key": "provider",
      "value": "Google",
      "observed_at": "2026-11-03T20:41:34.415Z"
    },
    {
      "key": "releaseDate",
      "value": "2026-10-06",
      "observed_at": "2026-11-03T20:41:34.415Z"
    },
    {
      "key": "reviewedProvenance:contextWindow",
      "value": {
        "checkedAt": "2026-11-03T20:41:34.415518+00:00",
        "url": "https://blog.google/innovation-and-ai/technology/developers-tools/embeddinggemma-2/"
      },
      "observed_at": "2026-11-03T20:41:34.415Z"
    },
    {
      "key": "reviewedProvenance:displayName",
      "value": {
        "checkedAt": "2026-11-03T20:41:34.415518+00:00",
        "url": "https://blog.google/innovation-and-ai/technology/developers-tools/embeddinggemma-2/"
      },
      "observed_at": "2026-11-03T20:41:34.415Z"
    },
    {
      "key": "reviewedProvenance:embeddingDimensions",
      "value": {
        "checkedAt": "2026-11-03T20:41:34.415518+00:00",
        "url": "https://blog.google/innovation-and-ai/technology/developers-tools/embeddinggemma-2/"
      },
      "observed_at": "2026-11-03T20:41:34.415Z"
    },
    {
      "key": "reviewedProvenance:inputModalities",
      "value": {
        "checkedAt": "2026-11-03T20:41:34.415518+00:00",
        "url": "https://blog.google/innovation-and-ai/technology/developers-tools/embeddinggemma-2/"
      },
      "observed_at": "2026-11-03T20:41:34.415Z"
    },
    {
      "key": "reviewedProvenance:modelType",
      "value": {
        "checkedAt": "2026-11-03T20:41:34.415518+00:00",
        "url": "https://blog.google/innovation-and-ai/technology/developers-tools/embeddinggemma-2/"
      },
      "observed_at": "2026-11-03T20:41:34.415Z"
    },
    {
      "key": "reviewedProvenance:openWeights",
      "value": {
        "checkedAt": "2026-11-03T20:41:34.415518+00:00",
        "url": "https://blog.google/innovation-and-ai/technology/developers-tools/embeddinggemma-2/"
      },
      "observed_at": "2026-11-03T20:41:34.415Z"
    },
    {
      "key": "reviewedProvenance:outputModalities",
      "value": {
        "checkedAt": "2026-11-03T20:41:34.415518+00:00",
        "url": "https://blog.google/innovation-and-ai/technology/developers-tools/embeddinggemma-2/"
      },
      "observed_at": "2026-11-03T20:41:34.415Z"
    },
    {
      "key": "reviewedProvenance:provider",
      "value": {
        "checkedAt": "2026-11-03T20:41:34.415518+00:00",
        "url": "https://blog.google/innovation-and-ai/technology/developers-tools/embeddinggemma-2/"
      },
      "observed_at": "2026-11-03T20:41:34.415Z"
    },
    {
      "key": "reviewedProvenance:releaseDate",
      "value": {
        "checkedAt": "2026-11-03T20:41:34.415518+00:00",
        "url": "https://blog.google/innovation-and-ai/technology/developers-tools/embeddinggemma-2/"
      },
      "observed_at": "2026-11-03T20:41:34.415Z"
    },
    {
      "key": "releasePrecision",
      "value": "day",
      "observed_at": "2026-11-03T20:41:34.415518+00:00"
    },
    {
      "key": "releaseScope",
      "value": "open_weights",
      "observed_at": "2026-11-03T20:41:34.415518+00:00"
    },
    {
      "key": "reviewedClaim",
      "value": {
        "anchor_event_id": 52490,
        "checked_at": "2026-11-03T20:41:34.415518+00:00",
        "claim_type": "release",
        "release_scope": "open_weights",
        "evidence": [
          {
            "url": "https://blog.google/innovation-and-ai/technology/developers-tools/embeddinggemma-2/",
            "supports": "October 6 release of the open multimodal embedding model; DeepMind source redirects to this same article.",
            "authority": "primary"
          },
          {
            "url": "https://huggingface.co/google/embeddinggemma-2",
            "supports": "The exact Google maker checkpoint is released under Apache 2.0. It accepts text, images, audio and video, with an 8192-token context and 768-dimensional vector output. Self-hosting examples do not establish hosted API availability.",
            "authority": "primary"
          }
        ]
      },
      "observed_at": "2026-11-03T20:41:34.415518+00:00"
    },
    {
      "key": "modelReleaseDate",
      "value": "2026-10-06",
      "observed_at": "2026-11-14T18:15:07.820Z"
    },
    {
      "key": "outputModalities",
      "value": [
        "embedding"
      ],
      "observed_at": "2026-11-03T20:41:34.415518+00:00"
    },
    {
      "key": "canonicalModelId",
      "value": "embeddinggemma-2",
      "observed_at": "2026-11-14T18:15:07.820Z"
    },
    {
      "key": "canonicalModelName",
      "value": "EmbeddingGemma 2",
      "observed_at": "2026-11-14T18:15:07.820Z"
    },
    {
      "key": "modelFirstSeenAt",
      "value": "2026-10-06T15:37:45.690Z",
      "observed_at": "2026-11-14T18:15:07.820Z"
    }
  ],
  "sources": [
    {
      "url": "https://www.kaggle.com/models/google/embeddinggemma-2",
      "outlet": "Kaggle · Google"
    },
    {
      "url": "https://huggingface.co/google/embeddinggemma-2",
      "outlet": "Hugging Face · google"
    },
    {
      "url": "https://deepmind.google/blog/embeddinggemma-2-an-open-lightweight-multimodal-embedding-model/",
      "outlet": "Google DeepMind · blog"
    },
    {
      "url": "https://blog.google/innovation-and-ai/technology/developers-tools/embeddinggemma-2/",
      "outlet": "Hacker News · front page"
    }
  ],
  "evidence": {
    "links": 4,
    "distinct_hosts": 4
  }
}