Swirl

Overview

Swirl is an open-source enterprise-grade AI-powered federated search platform that searches across 100+ enterprise platforms simultaneously without requiring data migration, indexing, or duplication.

Metasearch Architecture

How Federation Works

Rather than gathering data into a central repository, Swirl leaves information in place and connects natively to sources wherever they reside:

• Structured databases
• Unstructured file shares
• Collaboration apps (Slack, Teams, etc.)
• Cloud services (S3, Google Drive, SharePoint)
• Websites and APIs
• Search engines

Search Process

1. Asynchronously sends user queries to authorized APIs and configured endpoints
2. Waits for responses (time depends on slowest source)
3. Re-ranks results from all responding sources using LLM embeddings
4. Presents unified, AI-ranked results to users

Key Features

No Data Migration Required

• Connects to data where it lives
• No indexing or extraction needed
• No vector database setup required
• Preserves data security and compliance

AI-Powered Re-ranking

• Uses Large Language Models for result ranking
• Embeddings from configured LLM improve relevance
• Unified results across disparate sources
• Context-aware result presentation

Broad Connectivity

• Adapts and distributes queries to anything with a search API
• Supports search engines, databases, NoSQL engines
• Cloud/SaaS service integration
• Custom connector development supported

Components

Metasearch Engine

• Sends user search requests to multiple sources simultaneously
• Parallel query execution for speed
• Handles varied response formats
• Manages authentication per source

Content Transformation

• Normalizes results from different sources
• Applies AI ranking algorithms
• Enhances result snippets
• Provides unified result format

Enterprise Benefits

Security

• Data stays in place, maintaining existing security controls
• Role-based access control to sources
• Audit trail of search activities
• Compliance with data residency requirements

Quick Deployment

• Deploy in minutes, not months
• No lengthy migration projects
• Immediate ROI
• Minimal infrastructure changes

Scalability

• Searches across 100+ platforms
• Handles enterprise-scale queries
• Distributed architecture
• Cloud-native design

Use Cases

• Enterprise Search: Unified search across all company data sources
• Knowledge Management: Find information regardless of where it's stored
• Customer Support: Search across ticketing, documentation, and knowledge bases
• Legal Discovery: Search documents across multiple repositories
• Research & Development: Find information across research databases and documents

Integration

Supported Sources

• Microsoft 365 (SharePoint, OneDrive, Teams)
• Google Workspace (Drive, Docs)
• Slack, Confluence, Jira
• Databases (SQL, NoSQL)
• Cloud storage (S3, Azure Blob, GCS)
• Custom APIs and services

Deployment Options

• Self-hosted on-premises
• Cloud deployment
• Hybrid configurations
• Docker containers

Open Source

Available on GitHub: https://github.com/swirlai/swirl-search

Free and open-source with community support and enterprise options available.