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05c684d757
Add chromaembed.py using Chroma's DefaultEmbeddingFunction (all-MiniLM-L6-v2) for local embedding generation via ONNX Runtime. Also simplify seekdbembed.py and add ndarray-to-list conversion for JSON serialization compatibility.
21 lines
837 B
YAML
21 lines
837 B
YAML
apiVersion: v1
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kind: LLMAPIRequester
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metadata:
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name: chroma-embedding
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label:
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en_US: Chroma Embedding
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zh_Hans: Chroma 嵌入
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description:
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en_US: Chroma built-in embedding model (all-MiniLM-L6-v2), runs locally using ONNX Runtime. First-time use will download model files automatically.
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zh_Hans: 使用 Chroma 内置嵌入模型 (all-MiniLM-L6-v2)，基于 ONNX Runtime 本地运行。首次使用时将自动下载模型文件。
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ja_JP: Chroma 組み込み埋め込みモデル (all-MiniLM-L6-v2) を使用します。ONNX Runtime でローカル実行。初回使用時にモデルファイルが自動ダウンロードされます。
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icon: chroma.svg
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spec:
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config: []
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support_type:
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- text-embedding
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provider_category: builtin
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execution:
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python:
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path: ./chromaembed.py
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attr: ChromaEmbedding |