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Local or API Key-Based AI Integration #20

Description

@ysfemreAlbyrk

Users need AI-powered features such as quick summarization, content generation, translation, Q&A, and smart search during note-taking, document management, or project planning. However, most existing solutions are cloud-based, raising privacy concerns-especially for enterprise users or those handling sensitive data. There is a demand for local (offline) or user-controlled API key-based AI integration to address these issues.

  • Local AI Model Integration: Allow users to integrate open-source AI models (e.g., Llama, Mistral) running on their own machines.

  • API Key Support: Enable users to input API keys for external AI services (e.g., OpenAI, Mistral, Google AI) and use them directly within the platform.

  • Privacy-First Design: Ensure data is processed locally or in the cloud based on user preference, with transparent data handling policies.

  • Use Cases:

    • Automatic summarization of notes
    • Document translation
    • Smart search and Q&A
    • Project planning suggestions
  • Notion AI: Cloud-based, with privacy concerns.

  • Obsidian + Local Plugins: Local AI plugins exist, but integration and usability are limited.

  • Logseq + API Plugins: API integration is possible, but not user-friendly.

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