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Introduction to ZGI

Learn about ZGI - Enterprise AI Development Platform

Introduction to ZGI

ZGI is a powerful enterprise-grade AI development platform focused on visual Agent workflow design, advanced RAG systems, and multi-Agent orchestration.

What is ZGI?

ZGI is a comprehensive AI infrastructure platform that enables you to:

  • Build Intelligent Agents - Create autonomous AI agents that can understand tasks, call APIs, and make decisions
  • Design Complex Workflows - Orchestrate multiple agents working together through visual workflow designer
  • Manage Knowledge - Build intelligent knowledge retrieval systems with advanced RAG capabilities
  • Access Any Model - Route to 1000+ AI models from multiple providers through a unified API
  • Manage Data - Store and query structured data with AI-assisted schema design
  • Integrate Everything - Connect to any service, API, or data source through extensible plugins

Core Capabilities

šŸ¤– Agent Orchestration Platform

Enterprise-grade agent orchestration system for designing, deploying, and managing complex multi-agent workflows.

Key Features:

  • Visual workflow designer with drag-and-drop interface
  • Pre-built agent templates for common use cases
  • Dynamic tool invocation and API integration
  • Context sharing and memory management across agents
  • Conditional branching and parallel execution
  • Real-time debugging and execution monitoring

Performance:

  • Unlimited workflow complexity
  • 100+ concurrent agents
  • 98% execution success rate

🧠 Knowledge Retrieval System

Advanced RAG engine that converts your organization's documents into an intelligent, queryable system.

Key Features:

  • Multi-format document processing (PDF, Word, Excel, Markdown, HTML, etc.)
  • Intelligent chunking with semantic boundary detection
  • Hybrid search combining vector similarity and keyword matching
  • Real-time data synchronization from databases and APIs
  • Multi-language support with cross-lingual retrieval
  • Citation tracking and source attribution

Performance:

  • 95%+ retrieval accuracy
  • <200ms query latency
  • 15+ supported formats

šŸ”Œ Multi-Model Gateway

Universal AI model router providing seamless access to 1000+ models from multiple providers.

Key Features:

  • Access to 1000+ models: OpenAI, Anthropic, Google, Meta, Mistral, DeepSeek, and more
  • Intelligent load balancing across multiple providers and regions
  • Multi-channel routing with automatic failover and retry logic
  • Real-time model availability monitoring and cost optimization
  • Unified API compatible with OpenAI SDK and major frameworks
  • Per-model rate limiting, quota management, and usage analytics

šŸ’¾ Structured Database Management

Enterprise-grade SQL database with AI-powered intelligence for managing structured data.

Key Features:

  • AI-powered schema inference from files and documents
  • Visual table designer with automatic system fields
  • Intelligent batch data import with automatic type conversion
  • Native SQL query execution with parameterization and injection protection
  • Multi-tenant isolation and granular permissions
  • Dual-mode architecture: Direct PostgreSQL or HTTP API

Performance:

  • <100ms query performance
  • 15+ data types
  • 1000+ concurrent connections

šŸ”§ Extensible Plugin Architecture

Comprehensive plugin ecosystem for seamless integration with external services and APIs.

Key Features:

  • Pre-built connectors for popular services (Salesforce, Slack, GitHub, etc.)
  • Custom plugin development with SDK and templates
  • OAuth 2.0 and API key management
  • Rate limiting and quota management
  • Plugin marketplace with community contributions

šŸš€ Enterprise Deployment Options

Multiple deployment options designed for enterprise security and compliance.

Key Features:

  • Cloud-hosted SaaS with global CDN
  • Private cloud deployment (AWS, Azure, GCP)
  • On-premise installation with air-gapped support
  • Kubernetes-native architecture for auto-scaling
  • SOC 2, GDPR, and HIPAA compliance
  • Dedicated support and SLA guarantees

Enterprise Features

ZGI delivers enterprise-grade AI infrastructure with:

  • Private Deployment & Data Sovereignty - Keep your data where you need it
  • Modular Architecture - Use only what you need
  • Multi-Model Orchestration - Leverage the best models for each task
  • Real-Time Monitoring - Track everything in real-time
  • SLA Guarantees - Enterprise-grade reliability
  • SOC 2, GDPR & HIPAA Compliance - Meet regulatory requirements
  • Role-Based Access Control - Fine-grained permissions
  • API Rate Limiting & Quota Management - Control usage
  • Custom Branding - White-label options available
  • Enterprise SSO - Integrate with your identity provider

Use Cases

Customer Support

Build intelligent support agents that understand customer issues, search your knowledge base, and provide accurate answers.

Content Creation

Orchestrate agents to research topics, write content, edit, and publish across multiple channels.

Data Processing

Automate data extraction, transformation, and loading with intelligent agents and workflows.

Business Intelligence

Analyze data from multiple sources, generate insights, and create reports automatically.

Document Analysis

Process documents, extract information, and organize data with intelligent RAG systems.

API Integration

Connect to any service or API through extensible plugins and custom integrations.

Architecture

ZGI follows a modular, microservices-based architecture:

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│                    User Applications                     │
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│                    ZGI Platform API                      │
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│  Agents  │ Workflows │ Tools │ Knowledge │ Database     │
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│                  Core Services Layer                     │
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│ Multi-Model │ RAG Engine │ Database │ Plugin │ Compute  │
│  Gateway    │            │ Engine   │ System │ Engine   │
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│              Infrastructure & Deployment                │
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│  Cloud │ Private Cloud │ On-Premise │ Kubernetes        │
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Getting Started

Option 1: Cloud (Recommended for Getting Started)

# Sign up for ZGI Cloud
# Visit: https://cloud.zgi.ai

# Create a project
zgi init my-project

# Start building
cd my-project
npm run dev

Option 2: Local Development

# Install ZGI CLI
npm install -g @zgi/cli

# Create and run a project
zgi init my-project
cd my-project
npm run dev

Option 3: Docker

# Run ZGI in Docker
docker run -it zgi/cli:latest init my-project

Key Concepts

Agents

Autonomous AI entities that can understand tasks, call tools, maintain context, and make decisions.

Workflows

Coordinated sequences of steps executed by multiple agents to achieve complex goals.

Tools

Reusable components that agents can invoke to perform specific actions.

Knowledge Bases

Collections of documents indexed for semantic search and retrieval.

Models

AI language models accessed through the Multi-Model Gateway.

Plugins

Reusable components that extend ZGI by connecting to external services.

Next Steps

  1. Installation - Set up ZGI in your environment
  2. Quick Start - Create your first agent in 5 minutes
  3. Guides - Learn about each module in detail
  4. API Reference - Explore the complete API

Resources

Questions?

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