AIcurate documentation

AIcurate logo Startup Guide

Document Search Overview

Document Search in AIcurate lets you upload, manage, and query documents using AI-powered retrieval techniques. Leveraging RAG (Retrieval-Augmented Generation), you can extract insights from your files without costly fine-tuning or large-scale GPU resources.

How It Works

  1. Upload Documents - Store files via integrations (Google Drive, OneDrive, Slack, Monday.com).

  2. Select a Document - Choose any uploaded file to analyze with AI.

  3. Choose an AI Model - Pick from local LLMs or cloud providers (OpenAI, Cohere, Mistral, Groq).

  4. Query Your Data - Enter natural-language questions to search content.

  5. Retrieve Responses - Receive accurate, contextual answers in real time.

Documents are automatically processed into embeddings for efficient RAG-based retrieval.

  • Integrations

    • Google Drive - Access and query documents stored in Drive.
    • OneDrive - Seamless integration with Microsoft OneDrive.
    • Slack - Analyze messages and attachments from Slack channels.
    • Monday.com - Connect and retrieve structured docs from your Monday workspaces.
  • Supported File Types

    Documents:

    • PDF
    • Word (.docx)
    • Text (.txt, .rtf)

    Spreadsheets:

    • Excel (.xlsx)
    • CSV

    Presentations:

    • PowerPoint (.pptx)
  • Scalability

    • Large Documents: Easily handle files with over 1,000 pages with ease.
    • Fast Processing: AI extracts key insights from lengthy contracts and reports.
  • Privacy-First AI

    • On-Premises Processing: All AI runs locally—no cloud dependencies.
    • Enterprise-Grade Security: Control embeddings and access logs.
    • Secure Retrieval: Data never leaves your infrastructure.
  • No Fine-Tuning Needed: Instant AI retrieval, zero training overhead.
  • Scalable Retrieval: Query extensive document sets efficiently.
  • Custom Data Access: Select specific files for targeted analysis.
  • Secure & Private: Maintain full control over your data.

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