Mita AI SearchLatest version

Introduction to the Mita AI Search App

MiTa AI Search is an intelligent search application developed by Shanghai MiTa Network Technology Co., Ltd. It makes use of its own large language models to understand natural language queries, and it retrieves and organizes information from the Internet, documents, academic sources, and podcast content. Designed for use in everyday searches, business research, content management, market analysis, learning, and reading scientific literature, it aims to help users save time by eliminating the need to open individual web pages and manually compile information.

Main functions of the Mita AI search app

• Natural language intelligent search:Users can directly describe their requirements using a complete question; the system then uses semantic understanding to identify the search intent and the key points of the context, finds relevant information, and formulates an answer.
• Multiple search intensity levels:It offers search intensities such as concise, in-depth, and research-level options, allowing users to switch as needed between quickly obtaining key points, delving deeper into information, and conducting complex research.
• Search across the entire network and provide direct answers:By searching public online content, direct, clear, and structured answers are generated, reducing the need to navigate through numerous traditional links and piece together information manually.
• Trace of source citation:When answering, the corresponding source of information is indicated; users can view the cited content and access the original material, which facilitates the verification of conclusions and further reading.
• Multi-range search:It supports various search scopes such as the entire web, databases, academic resources, and podcasts; it allows users to choose the most appropriate information source based on general knowledge, professional documents, research papers, or audio content.
• In-depth library search:It enables the retrieval of documents such as industry research reports, academic papers, and learning materials through semantic methods, helping office and learning users to quickly locate high-value resources.
• Academic search:It filters documents for use in professional journals and academic databases, presents paper details and abstracts in a structured format, and allows the selection of Chinese and English databases to serve different research areas.
• Outline and mind map generation:It automatically extracts thematic hierarchies from search results to generate outlines and mind maps, helping users quickly understand the structure, branches, and key relationships of complex issues.
• Organization of related entities:Information such as relevant events, organizations, and individuals can be organized in tables, making the timeline, participants, and conceptual relationships more intuitive.
• In-depth research:Multiple rounds of searching, expansion, and summarization are carried out on complex topics, resulting in a relatively complete research process that includes problem breakdown, information retrieval, organization of evidence, and the derivation of conclusions.
• Research workflow:Workflows can be used to handle repetitive research tasks such as industry analysis, macroeconomic and environmental assessments, enabling the rapid creation of standardized report content based on specific topics.
• Export search results:It allows the results to be copied and exported as Word or PDF documents; it can also be integrated with MiTa Writing Cat for further editing, making it convenient to create reports, assignments, or other types of content.