Google Gemini - Generate text embedding action

The Generate text embedding action generates an embedding from the provided text. Text embedding is a technique for representing text as numerical vectors. It uses deep neural networks trained on large text sets to generate vector representations that capture the meaning and context of a text.

Input

Input field	Description
Model	Select the Gemini model to use.
Text for embedding generation	Provide the text to convert into an embedding. Input text must not exceed 8192 tokens (approximately 6000 words).

Output

Output field	Description
Value	The vector (embedding) returned by Gemini.
Sexually explicit	The likelihood that the text contains sexually explicit content. NEGLIGIBLE indicates there is little to no risk of such content being present.
Hate speech	The likelihood that the text contains or promotes hate speech, such as discriminatory symbols or context targeting protected groups. NEGLIGIBLE indicates there is little to no risk of such content being present.
Harassment	The likelihood that the text contains harassing behavior, threats, or abuse toward individuals or groups. NEGLIGIBLE indicates there is little to no risk of such content being present.
Dangerous content	The likelihood that the text contains dangerous or harmful content such as violence, self-harm, or instructions for unsafe behavior. NEGLIGIBLE indicates there is little to no risk of such content being present.