Product Introduction

1. AI Knowledge Search by Amurex is an AI-powered unified search engine that integrates data from Gmail, Google Docs, Drive, Notion, Obsidian, and other platforms into a single search interface. It uses advanced natural language processing to index and retrieve information across connected accounts in real time. The product eliminates the need to manually switch between apps or repositories to locate critical data.
2. The core value lies in breaking down information silos and enabling instant access to fragmented knowledge sources. By unifying search across emails, documents, meetings, and notes, it reduces time spent on repetitive queries and improves decision-making efficiency. The solution prioritizes data security while maintaining interoperability with widely used productivity platforms.

Main Features

1. Unified Search aggregates results from Gmail, Google Drive, Notion, Obsidian, and calendar events through API integrations, displaying them in a single ranked list. The system employs vector embeddings and semantic matching to understand query intent beyond keyword matching. Real-time synchronization ensures newly created content is searchable within seconds.
2. Context-Aware Organization classifies results by file type, project relevance, and temporal proximity using transformer-based models. Metadata tagging automatically groups emails with related meeting notes or documents. Users can filter results by source platform, date range, or collaborative workspace without leaving the search interface.
3. Open-Source Architecture provides full transparency via publicly accessible code repositories for the indexing engine and data processing modules. Enterprises can self-host the solution or audit security protocols like end-to-end encryption and OAuth2 authentication. Developers can extend platform integrations using standardized connector templates.

Problems Solved

1. The product addresses inefficient cross-platform data retrieval caused by fragmented knowledge management systems. Professionals waste 15-30 minutes daily switching between email clients, cloud drives, and note-taking apps to locate information. Legacy search tools fail to prioritize contextually relevant results across multiple formats.
2. Primary users include data-driven teams in tech, consulting, and research sectors who manage complex information workflows. Individual power users handling 100+ weekly documents and emails benefit from reduced cognitive load. IT departments gain a compliance-friendly alternative to closed-source knowledge management solutions.
3. Typical scenarios include retrieving project-specific Slack messages alongside related Jira tickets, finding archived client emails linked to current contract drafts in Google Docs, or recalling meeting action items stored across Notion pages and Obsidian vaults during deadline-driven sprints.

Unique Advantages

1. Unlike closed competitors like Rewind or Seek AI, Amurex combines enterprise-grade search with open-source verifiability and custom deployment options. Competitors lack native Obsidian integration or granular context prioritization for technical documentation.
2. The hybrid indexing system uniquely balances speed and accuracy by combining sparse/dense neural retrieval models. Proprietary context clustering algorithms outperform basic keyword highlighting in tools like Dropbox Spotlight or Gmail Search.
3. Competitive differentiation stems from zero vendor lock-in, with configurable data retention policies and multi-region hosting support. Security certifications for GDPR and SOC2 compliance are under active development, unlike many early-stage AI search startups.

Frequently Asked Questions (FAQ)

1. How does Amurex ensure the security of connected accounts? All integrations use read-only OAuth2 access without storing platform credentials. Data is encrypted in transit via TLS 1.3 and at rest using AES-256, with optional client-side encryption for self-hosted deployments.
2. Which platforms are currently supported? The solution integrates with Gmail, Google Workspace (Docs, Sheets, Drive), Notion, Obsidian, Microsoft Teams meetings, and Slack. Support for Confluence, GitHub, and Figma is scheduled for Q4 2024.
3. How does this differ from built-in search in Gmail or Google Drive? Amurex cross-references content relationships between platforms, such as showing a Notion project page alongside related email threads. Semantic understanding identifies conceptual matches even when exact keywords are absent in some documents.
4. Can I use this offline or with air-gapped systems? The self-hosted enterprise version supports offline indexing of local Obsidian vaults and on-premises SharePoint servers. Air-gapped deployments require Docker-based installation with manual model updates.
5. What AI models power the search results? The system uses a hybrid of fine-tuned FLAN-T5 for query understanding and OpenAI's text-embedding-3-small for vector similarity. All models run locally in self-hosted mode to ensure data privacy.