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Innovation in AI Search Services: The Emergence of 'Goover' in the Global Market

GOOVER DAILY REPORT September 9, 2024
goover

TABLE OF CONTENTS

  1. Summary
  2. Introduction to Goover
  3. Technological Innovations of Goover
  4. Features and User Benefits
  5. Market Impact and Competitive Landscape
  6. Conclusion

1. Summary

  • This report delves into the development and launch of the AI-based search service 'Goover'. Released simultaneously in South Korea and the United States, Goover is an innovative product created by Saltlux, leveraging advanced AI and language models to revolutionize the search engine landscape. Key components of Goover include its utilization of Saltlux's proprietary large language model, Lucia2, and Graph RAG technology to deliver optimized responses to user queries in real time. The report also explores features such as the 'Ask Goover' functionality, real-time AI search, and briefing pages which enhance user interaction and satisfaction. Furthermore, the report compares Goover to its key competitor, Perplexity, highlighting Goover's capability to generate in-depth reports and handle complex queries efficiently. Insights into user feedback and potential market growth conclude the comprehensive review of this groundbreaking service.

2. Introduction to Goover

  • 2-1. Launch of Goover

  • Goover, an innovative AI-based search service, was launched simultaneously in South Korea and the United States by its American subsidiary in Silicon Valley. The service aims to compete with Perplexity, a key player in the AI search engine market. Goover represents a significant entry into the estimated $120 billion search service market.

  • 2-2. Company Background: Saltlux and Spin-off

  • Goover was created as a spin-off from Saltlux, a company with a decade of experience in artificial intelligence and generative AI research. It operates as a subsidiary of Saltlux. The development of Goover underscores the company's commitment to leveraging advanced technologies to innovate in the AI search service sector.

3. Technological Innovations of Goover

  • 3-1. Large Language Models (LLM)

  • Goover utilizes Saltlux's proprietary large language model, named Lucia2, to enhance its search capabilities. This model allows Goover to deliver optimized responses to user queries in real time by conducting live searches across the internet. The LLM underpins the interaction between user requests and the retrieval of relevant information.

  • 3-2. Graph RAG Technology

  • Goover incorporates Graph RAG (Graph Retrieval-Augmented Generation) technology, which enables the AI agent to access diverse information across the web. This technology facilitates complex query handling and provides responses with sourced references. It represents a significant advancement in AI-driven search engines, aiming to surpass traditional keyword-based search methodologies.

  • 3-3. AI-based Deep Report Generation

  • One of the standout features of Goover is its capability to generate deep reports. Once a user retrieves information, Goover can produce comprehensive reports that summarize and analyze the data. This functionality not only assists users in acquiring information but also dramatically reduces the time spent on research tasks by automating the reporting process.

4. Features and User Benefits

  • 4-1. Real-time AI Search

  • Goover, an AI-based search service, allows users to conduct real-time searches over the internet. This feature leverages advanced AI and language models to provide accurate information rapidly. According to the reports, Goover has been noted to deliver clearer and more reliable source citations compared to its competitors, enhancing user trust and satisfaction.

  • 4-2. Ask Goover Functionality

  • The 'Ask Goover' functionality incorporates essential AI agents powered by large language models (LLM) and Graph RAG technology. This feature enables users to ask complex questions and receive immediate, optimized responses from a wide array of information sources, including both public web data and user-specific paid services.

  • 4-3. Briefing Pages and Social Interaction

  • Users can create individual 'Briefing Pages' tailored to specific topics of interest. Each page aggregates relevant news, social media responses, quotes, and related figures or companies in a visually engaging card news format. Goover also promotes interaction among users by providing insights and opportunities to discover new ideas through shared briefing pages, which can be subscribed to based on thematic similarities.

5. Market Impact and Competitive Landscape

  • 5-1. Comparison with Perplexity

  • Goover has been positioned as a strong competitor to Perplexity, which has recently gained significant investment from notable figures such as NVIDIA and Jeff Bezos. Goover seeks to surpass traditional AI search engines by automating the entire knowledge exploration process, an innovation described metaphorically as functioning like an autonomous vehicle. This capability is part of Goover's offering, which builds upon over ten years of artificial intelligence research by Saltlux.

  • 5-2. Impact on Traditional Search Engines

  • Goover's introduction to the search service market is expected to challenge established players, particularly Google. Industry expectations suggest that conversational AI-based search engines like Goover will start replacing keyword-based searches, which have long dominated the market. With a total market valuation projected at $120 billion, innovations from Goover signal a potential shift in user preference toward more interactive search experiences.

  • 5-3. User Feedback and Potential Market Growth

  • Early user feedback on Goover has been overwhelmingly positive, with users expressing high satisfaction with its depth and accuracy of real-time search capabilities. Users noted that Goover's ability to generate in-depth reports and clearly cite sources significantly enhances the research process. The ongoing beta phase allows for continuous feedback collection, which Saltlux intends to leverage as they finalize the product for a broader release. This responsiveness to users could facilitate substantial market growth for Goover as it refines its features based on actual user experiences.

6. Conclusion

  • The advent of Goover marks a significant milestone in AI-based search services, with its innovative use of advanced technologies like LLM and Graph RAG. As a product developed by Saltlux, Goover positions itself as a formidable competitor to established players such as Perplexity and aims to enhance search functionalities globally. The integration of deep learning capabilities and user-centric features like real-time search and the creation of personalized briefing pages offer substantial benefits to users. Although the user feedback has been overwhelmingly positive, suggesting high satisfaction levels, it is crucial for Saltlux to continue refining Goover based on ongoing user input. The limitations identified include the need for further technological refinements and addressing long-term user satisfaction. Future research should focus on the evolving interplay of AI in search engines and exploring how Goover can contribute to transforming traditional search methodologies. Practical applications include the potential of AI-driven search engines to replace traditional keyword-based searches, paving the way for more interactive and efficient search experiences.

7. Glossary

  • 7-1. Goover [Product]

  • Goover is an AI-based search service developed by Saltlux, leveraging large language models (LLM) and Graph RAG technology to provide swift and optimized search results, including deep report generation and real-time search capabilities.

  • 7-2. Saltlux [Company]

  • An AI specialist company that spun off Goover, aimed at transforming the search engine market. Saltlux has a decade of experience in AI and generative AI research, underlining its significant role in developing Goover.

  • 7-3. Perplexity [Product]

  • A competitive AI-based search engine that has garnered significant investment and market attention, known for its rapid response and accurate sourcing capabilities in response to complex queries.

8. Source Documents