通过 Aident Loadout 使用 Gemini Tools 的 Gemini Embed Content。执行前查看输入、输出、设置、价格和风险。
Generates text embeddings using Gemini embedding models. Converts text into numerical vectors for semantic search, similarity comparison, clustering, and classification tasks.
text必填stringThe text content to generate embeddings for.
modelstringEmbedding model to use. Options: 'text-embedding-004' (768 dimensions, default), 'gemini-embedding-001' (3072 dimensions, latest).
titlestringOptional title for the content. Use with task_type='RETRIEVAL_DOCUMENT' to improve embedding quality for document search.
task_typestringSpecifies the intended use case to optimize the embedding. Options: 'RETRIEVAL_QUERY' (search queries), 'RETRIEVAL_DOCUMENT' (documents to be searched), 'SEMANTIC_SIMILARITY' (text similarity), 'CLASSIFICATION' (categorization), 'CLUSTERING' (grouping), 'QUESTION_ANSWERING' (que…
output_dimensionalityintegerTruncate the embedding to this number of dimensions. Only supported by 'gemini-embedding-001' model. Recommended values: 768, 1536, or 3072. Lower dimensions reduce storage but may affect quality.
data必填Data from the action execution
errorstringError if any occurred during the execution of the action
successful必填booleanWhether or not the action execution was successful or not
Aident 托管访问。风险等级 2/5。
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目前没有已发布技能明确引用此操作。