Core Concepts
Values
Values are the core concept of KnowAI SSE, used to guide the direction of search instruction generation. The system supports the following value dimensions:
radical (Radicalism)
Focus on frontier labs, GitHub trends, unpublished papers.
Use cases: - Tracking latest technological breakthroughs - Discovering unpublished research - Following experimental projects
ethics (Ethical Concern)
Focus on AI ethics, digital divide, technological fairness, social impact.
Use cases: - Technology ethics research - Social impact assessment - Fairness analysis
practical (Pragmatism)
Focus on engineering practices, application cases, implementation effects, business value.
Use cases: - Engineering practice exploration - Application case analysis - Business value assessment
academic (Academic Rigor)
Focus on theoretical foundations, academic rigor, peer review, citation analysis.
Use cases: - Theoretical research - Academic literature review - Citation relationship analysis
open_source (Open Source Spirit)
Focus on open source projects, community ecosystem, developer tools, collaboration patterns.
Use cases: - Open source project discovery - Community dynamic tracking - Developer tool exploration
Search Channels
arxiv
Academic literature search, supports LaTeX syntax and arXiv search operators.
web
Web search, supports Google Search Operators (e.g., filetype:pdf, site:edu).
rss
RSS subscription source search, suitable for tracking updates from specific websites or blogs.