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Google

Integrate with 

Google

Learn more about how Narus integrates with Google LLMs Connect quickly and securely using our simple API interface. There is no technical knowledge needed, just access to the API key for Gemini.

Google

About Google LLMs

Google DeepMind has developed a family of large language models known as Gemini  designed to compete with other advanced AI models like OpenAI's GPT. Gemini LLMs are built to handle a wide range of tasks, including natural language processing and text generation. Gemini models are used for applications like search enhancement, AI-assisted writing, and other advanced tasks, aiming to offer greater efficiency, contextual understanding, and accuracy in AI-powered solutions for both consumer and enterprise use.

Integrating Gemini with Narus ensures that you and your team can get the most value out of using this AI tool.

  • Prompt optimisation helps everyone craft better prompts and get more useful outputs.
  • With the prompt library you can share highly effective prompts with the whole team.
  • Keep track of how your team is using Googls models and the associated costs.
  • Control who has access to Google models.
  • Get tailored warnings about concerning or problematic content in user prompts.

Connect Google LLMs

Connecting to Google LLMsis quick and easy.

  • Get your API key from Google.
    This is usually in the settings menu for users with administrative access. 
  • Add a Google LLM to Narus.
    In the configuration section of Narus, navigate to AI Models and select Add AI model.
  • Enter a name for the connection.
    Gemini is a good starting point. Paste your API key into the form and select Save.
  • All your users now have access to your chosen Google LLM..

If you want to limit access to this AI model you can do that in the User Management section.

Compatible Google Models

  • Gemini 1.0-pro,
  • Gemini 1.5-flash
  • Gemini 1.5-pro
  • Gemma 2

Support for Google LLMs

If you can not connect a Google LLM to Narus try these troubleshooting steps:

  • Check that your API key is correct.
  • Check the status of the LLM. If it is currently unavailable or undergoing maintenance you should try again later.

If the problem persists, contact our support team.