KResearch's Core Architecture and Functional Positioning
As an innovative open source tool, KResearch realizes the technological integration of browser application and Google Gemini API to build a complete closed loop of automated research. The tool adopts the MIT open source protocol, and the code base is hosted on the GitHub platform, allowing users to freely deploy and secondary development. Its technical architecture contains three key layers: the front-end uses a modern Web technology stack to realize the interactive interface, the middle layer encapsulates the research logic process, and the bottom layer realizes intelligent decision-making through the Gemini API. This design allows it to maintain its lightweight nature while performing complex information processing tasks, successfully compressing the traditional hours-long manual research process into 15 minutes.
The most prominent technological breakthrough of the system is that it realizes end-to-end research automation: from the initial topic clarification dialogue, to the mid-term strategy formulation and real-time data capture, up to the final report generation and visualization presentation, all the links are seamlessly connected. Particularly noteworthy is its knowledge graph output function, which effectively solves the problem of conceptual association visualization in in-depth research by transforming textual information into structured networks through the Mermaid charting engine.
This answer comes from the articleKResearch: Generate Free In-depth Research Reports with Google Gemini APIsThe
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