MCP (Multi-modal Co-pilot) is the core technology module of Revornix, which mainly realizes the following intelligent functions:
- Interactive Document Analysis: Users can talk to the document repository in natural language (e.g., "Summarize the core insights of all the industry reports from last week"), and the MCP will call the language model to understand the instructions and return structured results.
- Automated content processing: Automatically perform summary generation, keyword extraction, and other operations on new documents on a daily basis to output customizable reports.
- Multimodal extensions: Currently supports text data processing, with future plans to integrate joint analysis capabilities for multimedia content such as images and tables.
- model scheduling: Automatically select the most suitable language model according to the type of task (e.g., choose GPT-4 to handle complex reasoning and a lightweight model to handle simple queries), balancing efficiency and cost.
For example, in the financial field, MCP can automatically extract key indicators from financial reports and generate comparison charts; in educational scenarios, it can transform textbook content into review outlines in the form of questions and answers. This technology breaks through the limitations of one-way storage of traditional knowledge management tools and realizes truly intelligent interaction.
This answer comes from the articleRevornix: information management tool with built-in AI assistantThe
May not be reproduced without permission:AI productivity tools " What exactly does Revornix's Multimodal Co-Processing (MCP) technology enable?
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