Aident Loadout के माध्यम से Gemini Tools के साथ Gemini Embed Content का उपयोग करें। चलाने से पहले इनपुट, आउटपुट, सेटअप, मूल्य और जोखिम देखें।
Generates text embeddings using Gemini embedding models. Converts text into numerical vectors for semantic search, similarity comparison, clustering, and classification tasks.
textआवश्यकstringThe 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.
dataआवश्यकData from the action execution
errorstringError if any occurred during the execution of the action
successfulआवश्यकbooleanWhether or not the action execution was successful or not
Aident द्वारा प्रबंधित एक्सेस। जोखिम स्तर 2/5।
मुफ़्त Action
अभी कोई प्रकाशित Skills इस Action को स्पष्ट रूप से संदर्भित नहीं करती है।