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The Launch and Impact of Goover: A Revolutionary AI Search Service Transforming the Search Ecosystem

GOOVER DAILY REPORT September 14, 2024
goover

TABLE OF CONTENTS

  1. Summary
  2. Introduction to Goover
  3. Core Technologies and Features
  4. Market Position and Competitors
  5. Functional Capabilities and User Interaction
  6. Potential Impact and User Benefits

1. Summary

  • The report titled 'The Launch and Impact of Goover: A Revolutionary AI Search Service Transforming the Search Ecosystem' delves into the recent introduction of Goover, an AI-driven search service developed by a subsidiary of Saltlux. Debuting simultaneously in the USA and South Korea, Goover aims to challenge existing services such as Perplexity through its integration of large language models (LLM) and automated document generation capabilities. The report explores Goover's core technologies, functionalities, and market positioning. Key findings include the innovative use of LLM and Graph RAG for precise information retrieval, automated document generation powered by Connectome, and social media integration for user interaction and information sharing. The platform’s potential impact includes reducing information overload and enhancing search efficiency for knowledge professionals.

2. Introduction to Goover

  • 2-1. Background of Goover

  • Goover, a revolutionary AI search service, was developed by a subsidiary of Saltlux. This innovative platform utilizes large language models combined with automated document generation capabilities and incorporates information sharing experiences from social media. Goover aims to actively collect and recommend necessary information, addressing the widespread issue of information overload commonly faced by knowledge professionals. It has been positioned as a formidable competitor to existing services like Perplexity.

  • 2-2. Launch Announcement

  • Goover was announced on September 3, 2024, with a simultaneous launch in both South Korea and the USA. The announcement highlighted that Goover is designed to outperform Perplexity, a notable contender in the AI search engine space backed by significant investments. Goover is named after the concept of 'Go over,' which signifies in-depth research and analysis. It is designed as an autonomous exploration tool that automates the entire knowledge inquiry process, delivering optimized responses and generating detailed reports automatically. The underlying technology includes 'Ask Goover,' which incorporates large language models and graph search augmentation generation, enabling it to navigate diverse web information and subscription services tailored specifically to users' needs.

3. Core Technologies and Features

  • 3-1. Large Language Models and Graph RAG

  • The core technology of Goover is centered around the integration of Large Language Models (LLM) and Graph Retrieval-Augmented Generation (Graph RAG). This technology enables Goover to serve as an AI agent capable of precisely searching information across the web in various languages, as well as providing responses tailored to user inquiries. Goover efficiently compiles and presents the most relevant answers along with their sources, addressing the complexities of information retrieval in the current digital ecosystem.

  • 3-2. Automated Document Generation

  • Goover features advanced automated document generation capabilities that allow it to produce detailed reports and briefings based on the information gathered. This system is powered by an AI brain referred to as 'Connectome,' which learns from user interactions and generates in-depth reports. Users can open 'briefing pages' on topics of interest, where Goover compiles relevant news, social media reactions, quotes, related individuals, and business information. The content is displayed in a card news format, facilitating easy access and understanding.

  • 3-3. Social Media Integration

  • Goover incorporates social media integration, which allows users to interact with their briefing pages and share insights across various social platforms, including Facebook. The service includes a 'social briefing' tab that recommends and allows subscription to similar briefing pages created by other users. This feature fosters community interaction and knowledge sharing, enhancing the overall user experience as they can discover new ideas and insights through interaction with peers.

4. Market Position and Competitors

  • 4-1. Comparison with Perplexity

  • Goover has been launched as a competitor to Perplexity. The service was unveiled simultaneously in both the USA and South Korea, showcasing its positioning as a robust alternative in the realm of AI search services. The platform integrates advanced technologies, including large language models and automated document generation, to enhance the user experience. Goover aims to outperform Perplexity by streamlining the information retrieval process, which addresses the common challenge of information overload faced by users.

  • 4-2. Market Size and Opportunities

  • The global search service market is estimated to be worth approximately $120 billion. Recent developments indicate a growing interest in AI search technologies, particularly following significant investments in Perplexity from major players such as Nvidia and Jeff Bezos. This presents clear market opportunities for Goover to capitalize on, especially in differentiating its service through innovative features that automate knowledge exploration and document generation.

5. Functional Capabilities and User Interaction

  • 5-1. Information Gathering and Recommendations

  • Goover, a revolutionary AI search service, utilizes advanced technologies such as the large language model (LLM) and Graph Search-Augmented Generation (Graph RAG) to provide users with optimized answers from diverse web sources, including user-subscribed paid services. This capability significantly enhances information gathering processes by not only retrieving relevant data but also performing summarization, translation, and in-depth Q&A, thus reducing the time required for research tasks.

  • 5-2. User-Generated Reports and Insights

  • Users of Goover can create 'Briefing Pages' to monitor and analyze specific topics. Each Briefing Page consolidates relevant news, social media reactions, quotes, and information about associated people or businesses in a card news format. Goover's AI then automatically generates reports based on this collected information, allowing users to access personalized and recommended content alongside analytical widgets all in one view.

  • 5-3. Social Interaction Features

  • Goover includes social interaction features that enable users to gain insights and discover new ideas through collaboration with others. The 'Social Briefing' tab recommends Briefing Pages created by other users that align with the themes of a user's own pages. Additionally, there is a 'socializing platform' function that allows users to share their information or Briefing Pages on social media platforms like Facebook, enhancing the overall user experience.

6. Potential Impact and User Benefits

  • 6-1. Reducing Information Overload

  • Joshua Bae, head of the US subsidiary, stated that Goover integrates cutting-edge language models with automated document generation capabilities and information sharing experiences from social media. This innovative platform is expected to revolutionize how users actively collect and recommend the information they need, effectively addressing the common issue of information overload faced by knowledge professionals. This insight is derived from the document titled 'Goover Launch: Innovating the Search Ecosystem'.

  • 6-2. Enhanced Search Efficiency

  • Goover, recently unveiled simultaneously in the USA and South Korea, is positioned as a formidable competitor against Perplexity, an AI search engine praised for providing quick answers and source references. Goover automates the entire process of knowledge exploration, functioning similarly to autonomous vehicles. The core technology, 'Ask Goover', employs a large language model (LLM) along with Graph RAG technology to present optimized answers sourced from diverse datasets, including websites and user-subscribed services. It also supports tasks like summarization, translation, and in-depth queries, thereby significantly reducing the time spent on research activities. This information is based on the report titled 'Goover Launch: A Rival to Perplexity'.

7. Glossary

  • 7-1. Goover [Product]

  • Goover is an AI-driven search service developed by a subsidiary of Saltlux. It combines large language models and automated document generation to provide precise information retrieval and custom reporting, aiming to resolve the issue of information overload faced by knowledge professionals.

  • 7-2. Perplexity [Product]

  • Perplexity is an AI-based conversational search engine that delivers rapid responses and references for complex queries. It has gained significant investment and attention within the market due to its potential to replace traditional keyword-based search methods like those used by Google.

  • 7-3. Saltlux [Company]

  • Saltlux is a South Korean company specializing in artificial intelligence and big data technologies. It is the parent company of Goover, which leverages Saltlux's decades of research in AI to innovate in the search service market.

  • 7-4. Graph RAG [Technology]

  • Graph RAG is a technology integrated within Goover that enhances AI search capabilities by combining graph-based search methodologies with large language models. This enables deeper informational analysis and more accurate results.

  • 7-5. Connectome [Technology]

  • Connectome, referred to as the AI 'brain' in Goover, is responsible for intelligently filtering and providing vital information from the web, as well as generating detailed reports automatically.

8. Source Documents