Aident Loadout を通じて Gemini Tools の Gemini Embed Content を使用します。実行前に入力、出力、設定、料金、リスクを確認できます。
Generates text embeddings using Gemini embedding models. Converts text into numerical vectors for semantic search, similarity comparison, clustering, and classification tasks.
text必須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必須Data from the action execution
errorstringError if any occurred during the execution of the action
successful必須booleanWhether or not the action execution was successful or not
Aident 管理アクセス。リスクレベル 2/5。
無料 Action
この Action を明示的に参照する公開 Skills はまだありません。