knowledge loss
Expert experience, project reviews and key documents are not structured and precipitated and disappear with the flow of personnel.
Unify the connection, governance and activation of enterprise knowledge assets, making dispersed documents, business data and implicit experiences become knowledge assets that are understandable, callable and reusable by AI.
The value of knowledge is being dormant, fragmented and forgotten, which continues to consume organizational efficiency.
Expert experience, project reviews and key documents are not structured and precipitated and disappear with the flow of personnel.
Documents, data and business systems are separated from each other and cannot form a unified access to knowledge.
Massive reports, contracts, emails and information are scattered across different tools, making retrieval costs high.
There is a lack of refined permissions, auditing and desensitization mechanisms, and there is a risk of misuse and leakage of sensitive knowledge.
Historical data and business experience are not continuously activated and cannot support predictive analysis, recommendations and intelligent question and answer.
Manual search, extraction and summary are easy to miss and misread, and it is difficult to ensure consistent output standards.
Centrally manage corporate documents, structured data and personal knowledge space, so that knowledge accumulation has a manageable, retrieval and callable foundation.
The enterprise-level knowledge and data sharing platform centrally stores unstructured content such as documents, materials, cases, contracts, etc. uploaded by all employees, as well as structured data from CRM, ERP, MES and other systems, achieving safe, controllable and unified management.
Provide each employee with an exclusive personal knowledge space, support the storage of sensitive information such as private notes, work records, project drafts, and optionally share it with the corporate space.
Supports seamless integration with SharePoint, Confluence, OneDrive, CRM, SAP, work order system, SQL Server / Oracle and other systems without manual migration.
Users can search, ask questions, and call knowledge content from multiple sources in a unified portal, making knowledge the underlying fuel for subsequent agents and business processes.
Through multi-modal parsing, semantic segmentation and hybrid retrieval, enterprise employees can quickly locate knowledge answers and document basis in natural language.
Supports automatic parsing of PDF, PPT, pictures, tables and other formats into structured or semi-structured text, and performs indexing and marking to meet diverse data query needs.
It adopts various methods such as semantic segmentation, custom length segmentation, large and small segments, etc. to realize file segmentation and index production, and supports cross-segment related retrieval.
Use advanced hybrid retrieval technology to achieve fast and accurate retrieval of massive documents, taking into account semantics, full text, keywords, Q&A, RRF and Internet search.
Utilize the latest multi-modal model to provide users with intelligent question and answer services based on knowledge base content, accurately returning answers, relevant fragments or document links.
From summarization, brain mapping, Q&A to translation, it helps teams quickly understand complex knowledge and reduce the cost of cross-department and cross-language collaboration.
Automatically generate concise summaries for long documents, or understand user intentions based on context and generate targeted summaries to help quickly understand the key points of the document.
Create a visual mind map based on the document content to show the relationship between knowledge points, or automatically identify the document structure and output a clear-level outline.
It supports natural language questions on single or multiple documents, accurately locates answer fragments, and performs multiple rounds of semantic reasoning based on context.
Supports translation between Chinese-English, Chinese-Japanese, Chinese-German, Chinese-French and other mainstream languages. It can translate the entire document or key paragraphs while retaining the format and structure of the original text.
Let knowledge assets enter real business processes, from question and answer, generation, retrieval to execution, to support intelligent collaboration among multiple departments.
Let enterprise knowledge move from static storage to dynamic growth and become the core fuel of AI Operating.