The platform excels in its ability to handle a wide variety of data modalities, including text, tables, audio, video, and images. This versatility allows users to extract, annotate, and transform data while preserving its semantic meaning. For instance, users can convert raw data into structured formats suitable for downstream applications, such as training LLMs or conducting detailed analyses. This capability significantly reduces the manual effort typically required for data preparation, enabling teams to focus on higher-level tasks that require human insight.


One of the key features of HelloRAG is its no-code interface, which simplifies the process of data ingestion and management. Users do not need extensive programming knowledge to utilize the platform effectively; instead, they can navigate through an intuitive interface that guides them through the various functionalities available. This accessibility makes HelloRAG suitable for a broad range of users, from technical experts to business professionals who may not have a background in programming.


HelloRAG integrates smoothly with popular open-source frameworks like LlamaIndex and LangChain, allowing users to incorporate these tools into their existing workflows seamlessly. This compatibility ensures that users can leverage the strengths of established frameworks while enhancing their capabilities with HelloRAG's advanced features. The platform's design encourages collaboration among teams by providing transparency and control over the data ingestion process, allowing users to monitor and manage their data effectively.


Security is a paramount concern for HelloRAG, which implements robust measures to protect user data throughout the ingestion and processing phases. The platform ensures compliance with industry standards for data handling and storage, giving users confidence that their sensitive information is secure.


HelloRAG offers various pricing plans to accommodate different user needs:


  • Free Trial: Users can try the platform for 30 days with access to up to 10 files, each containing less than 20 pages. This plan supports PDF, PPTX/PPT, and DOCX/DOC formats.
  • Starter Plan: Priced at $200 per month, this plan includes support for up to 5,000 pages per month with an additional charge of $0.05 per extra page. It also offers AI-assisted parsing and annotation features along with Slack channel support.
  • Advanced Plan: At $900 per month, this plan supports up to 30,000 pages per month with an additional charge of $0.04 for each extra page. It includes enhanced features such as dedicated technical support and upcoming API integration capabilities.
  • Enterprise Plan: Custom pricing is available for larger organizations requiring tailored solutions and volume discounts.

  • Key features of HelloRAG include:


  • Multi-modal data processing capabilities for various types of content.
  • No-code interface designed for ease of use across different user skill levels.
  • Semantic-preserving extraction and transformation of complex datasets.
  • Integration with popular open-source frameworks like LlamaIndex and LangChain.
  • Comprehensive visibility over the data ingestion process.
  • Secure handling and storage of sensitive information.
  • AI-assisted parsing and annotation capabilities.
  • Support for multiple document types including PDFs and presentations.
  • Flexible pricing plans catering to different organizational needs.
  • Continuous updates based on user feedback and technological advancements.

  • HelloRAG aims to transform how organizations manage their data by providing accessible tools that facilitate efficient processing and integration into AI applications. By focusing on usability, security, and flexibility, HelloRAG empowers users to unlock the full potential of their multi-modal data in enhancing LLM performance and achieving their analytical goals.


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    FeatureDetails
    Pricing StructurePricing not specified on website
    Key FeaturesAI-powered retrieval-augmented generation for chatbots
    Use CasesBusinesses looking to create more accurate and context-aware chatbots
    Ease of UseNot enough information to determine
    PlatformsWeb-based application
    IntegrationNo specific integration information available
    Security FeaturesNo detailed security information provided
    TeamNo specific team information available
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