Getting Started
Key Concepts

Key Concepts

Understanding the fundamental concepts behind Mazaal AI will help you make the most of the platform. This guide explains the core components and how they work together.

The Mazaal AI Platform Architecture

Mazaal AI combines two powerful capabilities—AI agents and workflow automation—into a unified platform. Understanding how these components work together will help you build more effective solutions.

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Think of Mazaal AI as having both a "brain" (AI agents) and "hands" (automation). The brain understands and communicates, while the hands take action across your business systems.

AI Agents: The Intelligent Interface

AI agents are at the core of Mazaal AI's ability to understand and respond to human language.

AI agents are intelligent virtual assistants that can:

  • Understand natural language questions and requests
  • Access knowledge from your business documents and data
  • Provide accurate, consistent responses
  • Learn and improve over time
  • Trigger actions when appropriate

Unlike simple chatbots with predefined responses, Mazaal AI agents use advanced language models to understand context, nuance, and intent.

Automation: The Action Layer

While AI agents handle understanding and communication, automation workflows handle actions and processes.

Automation in Mazaal AI refers to the ability to:

  • Connect different applications and services
  • Move data between systems automatically
  • Execute sequences of actions based on triggers
  • Implement business logic and conditional processing
  • Reduce manual work and human error

Automation turns manual processes into efficient, consistent workflows that run with minimal human intervention.

RAG: Retrieval Augmented Generation

RAG is the technology that powers Mazaal AI's ability to provide accurate, knowledge-based responses.

RAG combines the power of large language models with your specific business knowledge, ensuring responses are both intelligent and accurate for your unique context.

Document Processing

When you add knowledge sources, they're processed to extract text and structure:

  • Documents are converted to text
  • Websites are crawled and content is extracted
  • Q&A pairs are formatted for retrieval

Chunking and Embedding

The extracted text is:

  • Divided into manageable "chunks" of information
  • Converted into numerical representations called "embeddings"
  • Organized in a vector database for efficient retrieval

Query Processing

When a user asks a question:

  • The question is also converted to an embedding
  • The system searches for chunks with similar embeddings
  • The most relevant chunks are retrieved

Response Generation

The AI model:

  • Receives the user's question
  • Reviews the retrieved knowledge chunks
  • Generates a response based on this specific information
  • Cites sources when appropriate

This process ensures that responses are grounded in your business knowledge rather than generic or potentially outdated information.

AI Credits: The Resource System

Mazaal AI uses a credit-based system to provide flexible, transparent pricing for AI usage.

AI credits are the currency that powers AI interactions within Mazaal AI:

  • Each plan includes a monthly allocation of credits
  • Credits are consumed when you use AI features
  • Different operations consume different amounts of credits
  • Additional credits can be purchased if needed

This system provides flexibility and transparency in how you use the platform.

User Roles and Permissions

Mazaal AI supports team collaboration through a role-based access system.

    • Admin: Full access to all features, billing, and team management
    • Manager: Can create and manage agents and workflows, but cannot access billing
    • Creator: Can create and edit agents and workflows, but cannot publish them
    • Viewer: Can view and use agents and workflows, but cannot edit them
  • These roles allow you to control who can perform different actions within your Mazaal AI workspace, ensuring security and appropriate access levels for your team members.

    Workspaces and Organization

    For businesses with multiple teams or departments, Mazaal AI offers workspace organization:

    This organizational structure helps larger businesses maintain separation of concerns while still benefiting from centralized management.

    Understanding Plans and Limitations

    Different Mazaal AI plans include different capabilities and limitations:

    Understanding your plan's limitations will help you make the most of your Mazaal AI subscription and plan for growth.

    FeatureFreeBasicProfessionalEnterprise
    AI Agents1310Unlimited
    Workflows31050Unlimited
    Team Members1310Unlimited
    Monthly AI Credits1,00010,00050,000Custom
    Knowledge Base Size50K tokens100K tokens1M tokensCustom
    Deployment OptionsDirect Link+ Website Widget+ Messaging Platforms+ Custom API
    Support LevelCommunityStandardPriorityDedicated

    If you purchased through AppSumo, please refer to our AppSumo Plans page for specific information about your plan's capabilities and limitations.

    Next Steps

    Now that you understand the key concepts behind Mazaal AI, you're ready to start building:

    The concepts explained in this guide form the foundation of Mazaal AI. As you explore the platform, you'll discover how these components work together to create powerful, intelligent solutions for your business.