RagGenie is an advanced no-code platform designed to help users build, deploy, and monitor Retrieval-Augmented Generation (RAG) applications easily. RAG workflows connect external knowledge bases with large language models, enhancing their responses with fresh, relevant data. 
  With RagGenie, users can upload documents, websites, or databases as knowledge sources and configure AI pipelines without deep ML engineering skills. Its visual interface offers a clean way to orchestrate ingestion, indexing, querying, and generation stages. Moreover, RagGenie includes rich observability tools to monitor app performance and continuously improve it. Whether you're creating AI chatbots, internal assistants, or research tools, RagGenie provides everything you need to move fast and iterate intelligently. 
     Performance Score
 A+
 Content/Output
 Intelligent, Contextual Answers
 Interface
 No-Code, Intuitive
 AI Technology
    - Retrieval-Augmented Generation
  - Vector Database Integration
  - Model Monitoring
  - Data Ingestion Pipelines
  
   Purpose of Tool
  Build, deploy, and optimize RAG-based AI applications 
 Compatibility
 Web-Based
 Pricing
 Free plan + Paid plans starting from $19/month
     Who is Best for Using RagGenie?
   -  AI engineers: Deploy and refine RAG pipelines without backend coding. 
  -  SaaS startups: Build custom chatbots and assistants with real-time customer data. 
  -  Enterprises: Empower internal tools with smarter access to dynamic knowledge bases. 
  -  Researchers: Generate retrieval-enhanced insights from academic or dynamic datasets. 
  -  Product managers: Monitor model quality and knowledge integration through dashboards. 
  
      No-Code RAG App Builder 
  Multi-Source Data Ingestion 
 Vector Database Integrations
  Model Orchestration Pipelines 
  Fine-Tuning and Prompt Editing 
 Real-Time Observability Dashboard
  User Access and Roles Management 
  Deployment with API Endpoints 
  Pre-built Connectors for Databases and CMS 
     Is RagGenie Free?
 RagGenie offers a flexible plan structure that caters to different user needs:
   -  Free Plan 
  - 1 project
  - 100MB of knowledge base ingestion
  - 5,000 monthly queries
  - Basic monitoring and analytics
  
   -  Starter Plan � $19/month 
  - Up to 5 projects
  - 1GB of ingestion data
  - 50,000 monthly queries
  - Enhanced observability features
  - Email support
  
   -  Pro Plan � $99/month 
  - Up to 20 projects
  - 10GB of ingestion data
  - 500,000 monthly queries
  - Advanced monitoring and alerts
  - Slack support
  
   -  Enterprise Plan � Custom Pricing 
  - Unlimited projects
  - Unlimited ingestion capacity
  - SLA-backed uptime guarantee
  - Advanced user roles and access control
  - Dedicated success manager
  
   
  RagGenie Pros & Cons
      Simplifies the RAG workflow with an intuitive, no-code approach 
  Offers real-time monitoring and observability dashboards 
  Easily integrates with popular vector databases and CMS platforms 
  Supports deployment through secure API endpoints 
  Extremely affordable starting at just $19/month for startups 
        Advanced analytics features only available in Pro and Enterprise plans 
  May require external vector databases if scaling to large datasets 
  Limited offline support; built primarily for cloud workflows 
  Complex pipeline designs may still need expert tuning for optimization 
  Integration with proprietary LLMs might require extra configuration