The realization principle and application value of MCP technology
Multimodal Collaborative Processing (MCP) is Revornix's core technological innovation, and its working principle consists of three key components: document comprehension to convert formats such as PDF/Word to standard Markdown and vectorized storage; semantic indexing to build cross-document knowledge graphs; and interaction processing to enable natural language querying through language modeling. This allows users to access knowledge through dialog, for example, by asking the system to 'compare the technical differences between the two options A and B'.
In practical applications, MCP shows significant advantages: after a science and technology team used this function, the review time of technical solutions was shortened by 60%; research institutions used it to automatically generate literature reviews, and the efficiency was improved by 3 times. Test data show that the accuracy of MCP in handling complex semantic queries reaches 89%, far exceeding the level of 45% of traditional keyword retrieval systems. This shows that AI-driven interactive analysis is reshaping the way of knowledge management.
This answer comes from the articleRevornix: information management tool with built-in AI assistantThe
