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Saltlux Unveils AI Search Goover

GOOVER DAILY REPORT September 27, 2024
goover

TABLE OF CONTENTS

  1. Summary
  2. Introduction of Goover
  3. Technological Aspects of Goover
  4. Features and Functionalities
  5. Market Context and Competitive Landscape
  6. Current State and Public Reaction
  7. Conclusion

1. Summary

  • This report delves into the innovative AI search service 'Goover,' launched by Saltlux’s subsidiaries in the United States and South Korea. Goover aims to revolutionize the search engine market with its large-language-model-based AI and Graph RAG technology, offering users automated, optimized, and detailed search results along with engaging features like personalized briefing pages and social interaction functionalities. Highlighting the significant potential competition with Perplexity, the report notes how Saltlux’s decade-long AI expertise has culminated in a service designed to deliver enhanced user experiences through advanced AI functionalities.

2. Introduction of Goover

  • 2-1. Background on Goover

  • Goover is an advanced AI search service launched by the Goover U.S. subsidiary, aimed to compete in the search engine market against Perplexity. The service was unveiled as part of Saltlux's 10-year research on artificial intelligence and generative AI. Goover officially debuted simultaneously in Korea and the U.S. as a response to the projected $120 billion (approximately 146 trillion KRW) search service market. The service leverages a deep learning model (LLM) and Graph RAG technology to provide users with optimized and detailed responses to queries, with the intention of automating the knowledge exploration process akin to a self-driving car. Users can also activate a feature called 'Ask Goover' to obtain well-sourced and optimized answers.

  • 2-2. Saltlux and the Formation of Goover

  • Saltlux, a South Korean AI company known for its extensive research in artificial intelligence, facilitated the formation of Goover by spinning off a team dedicated to AI and generative AI for over a decade. Goover is a subsidiary of Saltlux, focusing on creating a sophisticated AI search engine that aims to transform the existing search ecosystem. The team behind Goover utilized their decade-long experience to innovate a platform designed to streamline user interaction and provide in-depth search results and reports. During its launch, the Goover brand emphasized features like personalized briefing pages and social interaction capabilities, differentiating it from conventional keyword-based search engines.

3. Technological Aspects of Goover

  • 3-1. Large-Language Model (LLM)

  • Goover utilizes Saltlux's proprietary Large-Language Model (LLM), named 'Lucia2'. This model is designed to provide optimized responses by performing real-time internet searches based on user inquiries. The LLM supports multiple languages and is integral to Goover's automated knowledge-seeking capabilities.

  • 3-2. Graph RAG Technology

  • The Graph RAG technology implemented in Goover enhances the search capabilities by utilizing retrieval-augmented generation techniques. This allows Goover to provide users with not only immediate answers but also comprehensive insights and contextual information derived from a variety of online sources. It significantly reduces the time required for research tasks.

  • 3-3. 'Connectome' AI Brain

  • The 'Connectome' AI Brain is a key feature of Goover, responsible for learning from user interactions and preferences. This AI brain excels in efficiently locating relevant information across the web. It can generate in-depth reports and personalized content summaries, contributing to the application's overall functionality and user engagement through its adaptive learning process.

4. Features and Functionalities

  • 4-1. 'Ask Goover' Functionality

  • The 'Ask Goover' functionality is a key feature of the Goover AI search service, utilizing a Large Language Model (LLM) and Graph RAG technology. This AI agent searches through web information in various languages and explores user-specific subscribed services to provide optimized answers along with their sources. Additionally, it is capable of information recommendation, summarization, translation, and deep Q&A, significantly reducing the time required for research tasks.

  • 4-2. Real-Time Search

  • Goover operates as a real-time AI search agent that provides optimized responses to user inquiries by searching the internet live. This feature is enhanced through the application of Saltlux's proprietary LLM, Lucia2, which allows for immediate access to relevant information across diverse topics.

  • 4-3. Automated Deep Dive Reports

  • The automated deep dive report generation capability allows Goover to create in-depth reports based on user queries. Once an initial answer is received, users can choose to generate a deeper response or a comprehensive report, effectively summarizing extensive research data into accessible insights.

  • 4-4. User Customization with Briefing Pages

  • Goover offers a user customization feature through 'Briefing Pages', enabling users to monitor and analyze topics of interest continuously. Users can create these specialized pages to receive curated news, social media reactions, quotes, and related information, which are displayed in a card news format. AI-generated reports, recommended information, and analysis widgets are also available for quick reference.

  • 4-5. Social Interaction and Sharing

  • The social interaction feature of Goover allows users to engage with one another through their briefing pages. Users can subscribe to similar topics created by others, share their briefing pages and information on social media platforms such as Facebook, and converse with others, effectively functioning as a 'socializing platform' within the AI search environment.

5. Market Context and Competitive Landscape

  • 5-1. Global Search Engine Market Overview

  • The global search engine market is valued at approximately $120 billion, equivalent to around 146 trillion won. Competing directly within this market, Goover, a product launched by Saltlux's US subsidiary, aims to transform the landscape with its advanced AI capabilities. The service was simultaneously launched in both the US and South Korea and is designed to automate knowledge exploration much like autonomous vehicles do for transport.

  • 5-2. Comparing Goover and Perplexity

  • Goover has been introduced as a competitor to Perplexity, another prominent AI search engine known for its rapid and detailed responses to complex queries. Goover utilizes its own proprietary large language model (LLM), named Lucia2, and Graph RAG technology. It seeks to provide a superior user experience by automating the entire knowledge inquiry process. While Perplexity has secured significant funding from notable investors including NVIDIA and Jeff Bezos, Goover aims to surpass its capabilities by offering not just answers but comprehensive reports generated from extensive web searches.

  • 5-3. Market Expectations and Potential Impact

  • There is a high expectation in the industry that AI-based conversational searches, like those from Goover and Perplexity, will replace traditional keyword-based searches exemplified by Google. Goover's innovative features, which include deep searches and the ability to generate analytical reports automatically, position it well within the competitive landscape. The introduction of Goover is anticipated to have a significant impact, reshaping user engagement and expectations in the search engine market.

6. Current State and Public Reaction

  • 6-1. Beta Version Release and Feedback

  • The AI search service 'Goover' was launched in a beta version by Saltlux's American subsidiary on July 3, 2024, simultaneously in South Korea and the U.S. The service aims to capture a share of the $120 billion global search service market. Initial feedback during the beta period indicates that users have had positive interactions with the service, which has been designed to automate knowledge exploration processes. This information is derived from announcements and reports concerning the launch.

  • 6-2. User Engagement and Community Feedback

  • User engagement with 'Goover' features such as briefing pages has demonstrated positive reception. Users can create individual briefing pages to monitor and analyze ongoing subjects, which will compile related news, social media reactions, and other relevant information. The service includes functionalities for information recommendation, summarization, translation, and deep question answering, significantly reducing the time previously spent on research tasks. This information stems from user reviews and community interactions with the platform.

  • 6-3. Future Prospects of Goover

  • As of now, 'Goover' is primarily in its beta version, with plans for enhancements based on user feedback during this period. Although the company intends to offer a tailored customization service for corporate clients and release a secure enterprise version, specific details remain undisclosed. This information reflects the current status and intends to provide insight into the ongoing development and future pathway of the service.

7. Conclusion

  • The introduction of the AI search service 'Goover' marks a notable advancement in the search engine landscape. Saltlux has leveraged its comprehensive expertise in AI to create a service that promises to automate and optimize search functionalities using Large-Language Model (LLM) and Graph RAG technology. Positive feedback from the beta version of Goover indicates strong user engagement, especially with its briefing pages and social functionalities. However, ongoing competition with platforms like Perplexity and the need for continuous innovation remain challenges. Future developments, particularly regarding enterprise solutions and refined customization, will be crucial for Goover’s sustained success in this rapidly evolving market. Saltlux's ambition to transform the global search service landscape with Goover sets a promising trajectory for future AI-driven innovations.

8. Glossary

  • 8-1. Goover [Product]

  • Goover is an AI search service developed by Saltlux's spinoff team, designed to provide optimized and automated search results using Large-Language Model (LLM) and Graph RAG technology. It offers functionalities such as real-time search, briefing page creation, and social platform integration.

  • 8-2. Saltlux [Company]

  • Saltlux is a Korean company specializing in AI and natural language processing. It is the parent company of Goover and has a decade-long experience in AI research and development.

  • 8-3. Perplexity [Company/Product]

  • A competing AI search engine startup that recently gained significant investment. Known for its advanced capabilities in AI-driven search queries.

  • 8-4. Large-Language Model (LLM) [Technology]

  • A type of AI model designed to understand and generate human language, which forms the basis of Goover’s search optimization capabilities.

  • 8-5. Graph RAG [Technology]

  • Graph-based search augmentation technology that enhances Goover's ability to retrieve and generate highly relevant information from diverse web sources.

  • 8-6. Connectome [Technology]

  • AI brain behind Goover that learns the user's interests and behaviors to provide personalized and in-depth search results and reports.

9. Source Documents