Swirl-Search Project Details

Project Overview

Swirl-Search is an open-source AI search and RAG (Retrieval-Augmented Generation) platform designed to provide enterprises with a unified search experience across 100+ applications, securely obtaining instant answers to enterprise knowledge without moving data. Built on Python and Django, the project can be deployed in minutes.

Core Features

1. Unified Search Experience

• Multi-Source Integration: Unified search across databases (SQL and NoSQL), cloud services, search providers, data silos, and tools like Miro, Jira, GitHub, etc.
• No Data Migration: Data remains in its original location, without copying or moving.
• Permission Protection: Search results adhere to existing permission systems.

2. AI-Powered Intelligent Search

• RAG Technology: Uses configured LLM embedding techniques to re-rank results from all response sources.
• Intelligent Q&A: Provides instant answers with source links.
• Contextual Understanding: Understands enterprise-specific context to provide accurate answers.

3. Enterprise-Grade Security and Deployment

• Data Security: Sensitive data remains secure, without external storage.
• Rapid Deployment: Deploys in minutes, not months.
• Infrastructure Control: Runs on your infrastructure, providing complete control.

Technical Architecture

Core Components

• Search Providers: Supports 100+ enterprise connectors.
• Query Processing: Intelligent query transformation and adaptation.
• Result Aggregation: Asynchronous search federation and result re-ranking.
• AI Enhancement: Integrates OpenAI, Hugging Face, and other AI services.

Supported Data Sources

• Office Suites: SharePoint, Confluence, Google Drive.
• Development Tools: GitHub, Jira, Documentation Systems.
• Databases: SQL Databases, NoSQL Databases.
• Cloud Services: Various cloud platforms and APIs.
• Search Engines: Apache Solr, Elasticsearch, etc.

Installation and Deployment

Docker Quick Deployment

# Download the configuration file
curl https://raw.githubusercontent.com/swirlai/swirl-search/main/docker-compose.yaml -o docker-compose.yaml

# Start the service
docker-compose pull && docker-compose up

Environment Requirements

• Docker application (latest version).
• Windows users require WSL 2 or Hyper-V backend.
• Optional: OpenAI API key for RAG functionality.

Use Cases

1. Enterprise Knowledge Management

• Connect SharePoint, Confluence, and Drive.
• Get instant answers with source links.
• Keep sensitive data secure.

2. Customer Support

• Search support documentation and tickets.
• Draft replies using enterprise content.
• Maintain consistent answer standards.

3. Development Teams

• Search GitHub, Jira, and documentation.
• Find code examples and solutions.
• Accelerate development workflows.

4. Unified Search Portal

• Unified search across all tools.
• Results adhere to existing permissions.
• No data duplication required.

Key Advantages

Performance Advantages

• Time Savings: Teams using SWIRL save an average of 7.5 hours of production time per week.
• Fast Response: Returns ranked results in seconds.
• Asynchronous Processing: Supports synchronous and asynchronous search federation.

Technical Advantages

• Open Source: Fully open source, freely customizable.
• Modular: Supports the extension of processors, connectors, and mixers.
• Intelligent Processing: Includes spell correction, duplicate detection, relevance ranking, and more.

Enterprise Advantages

• Security: Data does not leave the enterprise environment.
• Scalability: Supports large-scale enterprise deployments.
• Flexibility: Supports multiple data sources and custom configurations.

Technical Features

Intelligent Query Processing

• Query transformation and rewriting.
• Stemming and stop word processing.
• Spell correction support.

Result Optimization

• Duplicate detection based on cosine similarity.
• Multiple sorting strategies (relevance, date, polling).
• Real-time result filtering.

Extensibility

• Custom processor development.
• Connector plugin system.
• Configurable result mixers.

Summary

Swirl-Search is a powerful enterprise-grade AI search solution that helps enterprises quickly access knowledge scattered across various systems through unified search, intelligent Q&A, and secure deployment. Its open-source nature, rapid deployment capabilities, and powerful AI features make it an ideal choice for modern enterprise knowledge management.