GoSearch
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About
GoSearch is an AI-powered enterprise search platform that allows users to search across all their internal apps and resources in seconds. It uses generative AI to provide personalized suggestions and answers, and it integrates with over 100 apps and data connectors. GoSearch also offers features such as AI summaries of results, image and URL search, and custom enterprise GPTs. It is trusted by thousands of enterprises and startups.
Platform
Features
• slack integration
• ai agents
• announcements
• answers—curated q&as
• private data connectors
• unlimited data connectors
• goai assistant
• ai-powered search results
FAQs
What is workplace search?
Workplace search is the practice of making content from various sources within an organization searchable. Rather than manually querying individual applications, a single search can aggregate and summarize information from documents, tasks, emails, applications, people data, and other sources at once.
What is enterprise search?
Enterprise search is a unified search interface across all company applications. It allows employees to find relevant information quickly across databases, drives, documents, emails, chat apps, and other repositories.
What is an enterprise search platform?
An enterprise search platform is a software solution designed to index, search, and retrieve information from multiple data sources across an organization. With enterprise search platforms, employees instantly access relevant files and information across their organization's digital workspace, streamlining knowledge discovery and enhancing productivity.
What is federated search?
Federated search is a method of information retrieval that allows users to search across multiple independent data sources. Instead of centralizing all data into a single repository, federated search queries are distributed to individual data sources independently, and results are aggregated and presented to the user in a unified interface.
What is the difference between federated search and enterprise search?
Enterprise search enables a unified search across multiple data sources by indexing structured and unstructured data into a single database that can be queried at once. In contrast, federated search queries are distributed to individual data sources independently and then aggregated as search results.
How does AI improve enterprise search?
AI improves enterprise search by applying technologies like natural language processing, machine learning, and semantic understanding to enhance search speed, accuracy, and relevance. AI elevates enterprise search beyond basic keyword matching, processing large volumes of unstructured data to understand user intent, context, and preferences, leading to highly personalized search results.
What is the role of generative AI in enterprise search software?
Generative AI is a core component of enterprise search software, allowing users to have conversational interactions with the platform and their workplace knowledge. Beyond surfacing resources, generative AI supports summarized answers, content insights, and follow-up queries, acting as an intelligent workplace assistant within the enterprise search platform.
Can AI-powered enterprise search provide personalized search results?
Yes, AI-powered enterprise search can provide personalized search results by analyzing user behavior, preferences, past interactions, and search context to tailor search results to individual users. Personalization enhances user experience and improves search relevance.
How does AI assist in content recommendation within enterprise search?
AI assists in content recommendation by analyzing user profiles, search history, content metadata, and user interactions to suggest relevant content to users. Recommendation algorithms can help users discover new information and resources based on their preferences and past behaviors.
How does AI help with relevance ranking in enterprise search results?
AI helps with relevance ranking in enterprise search results by analyzing various factors such as query context, user behavior, content quality, and intent signals to determine and surface the most relevant search results for a given query.
How does AI enable predictive search capabilities in enterprise environments?
AI enables predictive search capabilities by analyzing user behavior, historical search patterns, contextual information, and external factors to anticipate the user's information needs and proactively suggest relevant search queries, content, or actions before the user explicitly expresses them.
What are the differences between keyword-based workplace search and AI-powered enterprise search?
Traditional keyword-based workplace search relies on exact matches between query keywords and document contents. AI-powered enterprise search uses advanced techniques such as natural language processing, semantic understanding, and machine learning to interpret user intent, context, and preferences for more accurate results.
What should companies consider when selecting enterprise search software?
Top considerations for enterprise search software include security, scalability, performance, generative AI, innovation, ease of integration, customization, supported data and inputs, and semantic accuracy of search results.
How does AI ensure data security and privacy in enterprise search software?
AI ensures data security and privacy through encryption techniques, access controls, anonymization methods, and compliance with regulations such as GDPR and HIPAA. Additionally, AI-powered enterprise search solutions can enforce fine-grained access policies to surface only authorized company information.
What types of data sources can be integrated into an AI-powered enterprise search platform?
Various data sources such as structured and unstructured databases, document repositories, content management systems, emails, chat applications, collaboration platforms, enterprise software, and external data sources like websites and APIs can be integrated into an AI-powered enterprise search platform.
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