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Goover: AI Search Revolution

General Report November 9, 2024
goover

TABLE OF CONTENTS

  1. Summary
  2. Introduction to Goover
  3. Technical Features of Goover
  4. User Experience and Interface
  5. Market Impact and Future Prospects
  6. Conclusion

1. Summary

  • In a rapidly evolving global search market, Goover emerges as a transformative AI search service, launched by a Saltlux spinoff to offer a viable alternative to prominent competitors like Perplexity. Integrating advanced AI technologies such as Large Language Models and Graph Retrieval-Augmented Generation, Goover automates the knowledge exploration process, akin to the autonomous functionalities seen in self-driving vehicles. This innovation not only enhances real-time search capabilities but also allows the creation of customized briefing pages that improve user interaction and information retrieval efficiency. As part of its market strategy, Goover's launch focuses on disrupting the traditional keyword-based search model, aiming to capture a significant portion of an industry valued at approximately $120 billion. By automating search processes and crafting intuitive interfaces, Goover seeks to redefine user experience amidst a notable shift towards AI-driven conversational searches.

2. Introduction to Goover

  • 2-1. Overview of Goover's Launch

  • Goover, an advanced AI search service, was launched as a spinoff from the AI company Saltlux. The service aims to present a competitive challenge to established players in the search market, specifically targeting Perplexity. Launched simultaneously in both Korea and the United States, the service enters a global search market valued at approximately $120 billion. Highlighting its innovative features, Goover automates the knowledge exploration process akin to autonomous vehicle functionality, enabling users to obtain necessary information swiftly and efficiently. An important aspect of Goover is its capability to generate in-depth reports, enhancing the briefing experience for its users.

  • 2-2. Background of the Development Team

  • The development team behind Goover consists of individuals who have spent over a decade researching artificial intelligence and generative AI at Saltlux. Following extensive research and development, the team transitioned into a startup environment, creating Goover as a subsidiary of Saltlux. This background empowers the team with rich expertise in AI technologies, which is reflected in the functionalities and innovations embedded within the Goover service.

  • 2-3. Market Context and Competitors

  • In the rapidly evolving search engine market, Goover is positioned against notable competitors, particularly Perplexity, which has garnered substantial investments from high-profile individuals, including NVIDIA and Amazon founder Jeff Bezos. The industry is witnessing a shift from traditional keyword-based searches dominated by Google towards AI-driven conversational search capabilities that provide quick answers and sources. Goover aims to exceed the capabilities of competitors like Perplexity by automating the entire knowledge exploration process using cutting-edge technologies such as large language models and graph-based search enhancements.

3. Technical Features of Goover

  • 3-1. AI Technologies Implemented

  • Goover has been developed by a spinoff of Saltlux, an organization that has researched artificial intelligence and generative AI for ten years. Goover employs advanced technologies such as Large Language Models (LLM) and Graph Retrieval-Augmented Generation (Graph RAG) to enhance its search capabilities. These technologies enable Goover to perform complex information retrieval tasks and offer optimized answers to user queries.

  • 3-2. Functionality of Ask Goover

  • The core functionality of Goover is embodied in a feature called 'Ask Goover', which acts as an AI agent capable of navigating vast amounts of information available in multiple languages across the web. This function not only retrieves information but also intelligently compiles answers, providing sources and data relevant to the user’s inquiries. The system is designed to significantly reduce the time spent on research tasks.

  • 3-3. Automated Knowledge Exploration

  • Goover is designed to automate the entire knowledge exploration process. It utilizes a self-learning AI brain called 'Connectome' to ensure that users receive the information they need efficiently. This feature allows the AI to generate in-depth reports automatically, creating briefing pages that curate and summarize the most relevant information based on user preferences.

  • 3-4. Real-time Information Retrieval

  • Goover excels in real-time information retrieval, providing users with quick answers and source references to complex inquiries. This allows the service to compete effectively in a market increasingly shifting from traditional keyword-based searches to interactive, AI-based conversational searches, such as those demonstrated by Perplexity.

4. User Experience and Interface

  • 4-1. User Registration and Initial Setup

  • To access the Goover service, users must first register on the official website. After completing the sign-up process, users can immediately start utilizing the beta version of Goover. This setup is crucial for enabling personalized functionalities and tailored experiences based on user preferences.

  • 4-2. Deep Answer Generation Process

  • The deep answer generation process of Goover involves utilizing its large language model (LLM) and graph-enhanced search generation (Graph RAG) technologies. When a user submits a query, Goover quickly retrieves optimized responses by referencing multiple documents. Users can select options to generate even deeper answers or a comprehensive report that encompasses additional insights and detailed information relevant to their queries.

  • 4-3. Briefing Pages and Customization Options

  • Goover enables users to create briefing pages tailored to specific topics of interest. These pages display information in the form of card news, including news articles, social media reactions, citations, and relevant individuals or companies related to the chosen topic. Users can continuously monitor and analyze subjects by customizing their briefing pages with automated reports and personalized recommendations generated by the AI.

  • 4-4. Social Features and User Interaction

  • Goover incorporates various social features that enhance user interaction. Users can discover similar briefing pages created by others and subscribe to them, thus gaining insights and new ideas. The platform functions as a social interaction hub, allowing users to share briefing pages and discussions on platforms like Facebook, thereby promoting a community of shared knowledge and resources.

5. Market Impact and Future Prospects

  • 5-1. Goover's Position in the Search Market

  • Goover, developed by a spinoff of Saltlux, is positioned as a competitor to established search services, particularly addressing the market represented by Perplexity. The launch of this advanced AI search service is aimed at capturing a portion of the global search service market, which is valued at approximately $120 billion.

  • 5-2. Comparative Analysis with Competitors

  • Goover is designed to outperform competitors like Perplexity by automating the entire process of knowledge exploration, akin to self-driving technology in vehicles. The service offers AI-based conversational search capabilities that quickly provide answers and sources for complex questions, potentially replacing traditional keyword-based searches exemplified by Google.

  • 5-3. Feedback and Iterative Development Plans

  • The current beta version of Goover is accessible following membership registration on its official website. The development team aims to enhance the service's functionality based on user feedback collected during the beta phase. Plans are also in place to introduce an enterprise version that will feature extensive customization for corporate clients and improved security measures.

Conclusion

  • Goover's entry into the AI search service landscape marks a considerable milestone, combining cutting-edge technology with practical functionalities that cater to contemporary user demands. Its hallmark features, including the automated generation of briefing pages and the robust 'Ask Goover' capability, position it as a formidable competitor to services like Perplexity. By leveraging AI to automate knowledge retrieval, Goover tailors content and provides comprehensive insights promptly. While currently in its beta phase, with user feedback driving further development, Goover's trajectory suggests promising implications for both individual and enterprise users seeking refined search experiences. However, as it continues to evolve, challenges such as user adoption and adapting to the nuanced search needs of global markets will remain. Looking ahead, the potential introduction of an enterprise version promises enhanced customization and security features, positioning Goover poised for significant impact in the future AI-driven search ecosystem. Additionally, practical applications of its advanced search functionalities can significantly benefit users seeking tailored information delivery and interactive social engagement.

Glossary

  • Goover [AI Search Service]: Goover is an AI-driven search service developed by a spinoff of Saltlux, aiming to innovate the search landscape by automating knowledge exploration and providing real-time responses. It integrates advanced technologies such as large language models and graph search augmentation, enabling users to receive comprehensive answers and insights tailored to their interests.
  • Saltlux [Company]: Saltlux is a South Korean AI company with a decade of experience in artificial intelligence and generative AI research. It serves as the parent company of Goover, facilitating the development of cutting-edge AI technologies and promoting their application in various sectors.
  • Perplexity [AI Search Service]: Perplexity is an AI search engine startup that has gained significant attention for its capacity to provide accurate search results. It has attracted substantial investments from notable figures including Nvidia and Jeff Bezos, positioning it as a key competitor in the AI search domain.

Source Documents