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Document Search Overview

Generate AI PC’s Document Search feature enables you to upload, manage, and query documents using advanced AI retrieval methods. With Retrieval-Augmented Generation (RAG), you can surface meaningful insights from your content—without the need for costly fine-tuning or dedicated GPU infrastructure.

How It Works

  1. Upload Documents – Add documents from various sources to a local vector database.
  2. Search with AI – Perform intelligent queries across your content using AI-powered retrieval.
  3. Get Context-Aware Results – Receive accurate, real-time responses based on your document data.

When you upload a file, it’s automatically converted into vector embeddings, making it ready for efficient and contextual AI-driven search.

  • Integrations

    • Local Disk – Upload files directly from your computer
    • Google Drive – Query Google Drive files
    • OneDrive – Integrate with Microsoft OneDrive
    • SharePoint – Manage documents in SharePoint
    • Slack – Retrieve messages and files
    • Airtable – Connect to structured Airtable data
    • QuickBooks – Extract invoices, transactions, and vendor records
    • DocuSign – Use signed legal documents
    • MinIO – Work with object storage securely

  • Supported File Types

    Documents

    • PDF
    • Word (.docx, .doc)
    • Text (.txt)
    • RTF

    Spreadsheets

    • Excel (.xlsx, .xls)
    • CSV
    • Numbers (Apple iWork)

    Presentations

    • PowerPoint (.ppt, .pptx)
    • Keynote (.key)
  • No Fine-Tuning Required – Works out of the box without costly model training.
  • Scalable AI Retrieval – Query large document sets quickly and efficiently.
  • Customizable Data Access – Choose specific files for targeted AI search.
  • Secure & Private – Maintain control over your document embeddings and queries.

Now that you have a basic understanding on how Document Search works, explore how to Use Document Search or dive into Configuring Settings to customize your experience.