{"id":"embed","name":"Embed","alias":"Embed","aliases":[],"description_short":"Generate embeddings from text","description_long":"Generate embeddings from text input. Currently supports text-multilingual-embedding-002 model. Returns a vector representation of the input text that can be used for semantic search, similarity comparison, and other machine learning tasks.","description_tool_prompt":"Generate embeddings from text input. Currently supports text-multilingual-embedding-002 model. Returns a vector representation of the input text that can be used for semantic search, similarity comparison, and other machine learning tasks.","source":null,"conversation_examples":[],"tags":[],"available_in_chat":false,"available_in_deepthink":false,"available_in_mcp":null,"mcp_audience":"all","config":{"type":"object","properties":{"model":{"const":"text-multilingual-embedding-002","default":"text-multilingual-embedding-002","description":"The embedding model to use","title":"Model","type":"string"}},"required":[]},"item":{"type":"object","properties":{"text":{"description":"The text to generate an embedding for","title":"Text","type":"string"}},"required":["text"]},"response":{"properties":{"embedding":{"description":"The embedding vector as a list of floats","items":{"type":"number"},"title":"Embedding","type":"array"}},"required":["embedding"],"title":"EmbedProcessedItem","type":"object"},"has_canvas":false,"open_canvas_automatically":false}