AutoRAG/licenses/embedding-assets.json at main · tryu-ai/AutoRAG · GitHub

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{
  "schemaVersion": 1,
  "generatedFrom": "src/embedding-runtime/manifest.ts",
  "profiles": [
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      "provider": "qwen",
      "model": "Qwen3-Embedding-0.6B-Q8_0.gguf",
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      "queryPrefix": "",
      "passagePrefix": "",
      "runtimeBuild": "b10951",
      "modelRevision": "370f27d7550e0def9b39c1f16d3fbaa13aa67728",
      "artifactSha256": "06507c7b42688469c4e7298b0a1e16deff06caf291cf0a5b278c308249c3e439",
      "backend": "auto",
      "modelAssetId": "qwen3-embedding-0.6b",
      "licenseId": "Apache-2.0",
      "noticeFile": "licenses/qwen3-embedding-notice.txt",
      "noticeReference": "Qwen3 model card and Apache-2.0 license",
      "intendedUse": "Local loopback embedding for AutoRAG MinSync and native-datasource semantic retrieval. Not a generative model.",
      "unsuitableUse": "Chat or generation, remote embedding of corpus text, shipping weights in the npm package, any GGUF other than the pinned SHA-256.",
      "upstreamCardUrl": "https://huggingface.co/Qwen/Qwen3-Embedding-0.6B",
      "modelCard": "docs/model-cards/qwen3-embedding-0.6b.md"
    },
    {
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      "provider": "google",
      "model": "embeddinggemma-300M-Q8_0.gguf",
      "dimension": 768,
      "queryPrefix": "task: search result | query: ",
      "passagePrefix": "title: none | text: ",
      "runtimeBuild": "b10951",
      "modelRevision": "0f741b5a6585bd53aeb15cd1372c56f2a0f65e12",
      "artifactSha256": "b5ce9d77a3fc4b3b39ccb5643c36777911cc4eb46a66962eadfa3f5f60490d63",
      "backend": "auto",
      "modelAssetId": "embeddinggemma-300m",
      "licenseId": "Gemma Terms of Use",
      "noticeFile": "licenses/gemma-notice.txt",
      "noticeReference": "Google EmbeddingGemma model card and Gemma Terms of Use",
      "intendedUse": "Local loopback embedding for AutoRAG MinSync and native-datasource semantic retrieval. Not a generative model.",
      "unsuitableUse": "Chat or generation, remote embedding of corpus text, shipping weights in the npm package, any GGUF other than the pinned SHA-256, uses restricted by the Gemma Prohibited Use Policy.",
      "upstreamCardUrl": "https://ai.google.dev/gemma/docs/embeddinggemma/model_card",
      "modelCard": "docs/model-cards/embeddinggemma-300m.md"
    }
  ],
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      "licenseId": "Apache-2.0",
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      "noticeReference": "Qwen3 model card and Apache-2.0 license",
      "intendedUse": "Local loopback embedding for AutoRAG MinSync and native-datasource semantic retrieval. Not a generative model.",
      "unsuitableUse": "Chat or generation, remote embedding of corpus text, shipping weights in the npm package, any GGUF other than the pinned SHA-256.",
      "upstreamCardUrl": "https://huggingface.co/Qwen/Qwen3-Embedding-0.6B",
      "modelCard": "docs/model-cards/qwen3-embedding-0.6b.md"
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      "noticeReference": "Google EmbeddingGemma model card and Gemma Terms of Use",
      "intendedUse": "Local loopback embedding for AutoRAG MinSync and native-datasource semantic retrieval. Not a generative model.",
      "unsuitableUse": "Chat or generation, remote embedding of corpus text, shipping weights in the npm package, any GGUF other than the pinned SHA-256, uses restricted by the Gemma Prohibited Use Policy.",
      "upstreamCardUrl": "https://ai.google.dev/gemma/docs/embeddinggemma/model_card",
      "modelCard": "docs/model-cards/embeddinggemma-300m.md"
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}