Neotask이 Neotask를 통해 Kagi의 고품질 광고 없는 검색을 사용하여 정확하고 편향 없는 웹 리서치를 자동으로 수행합니다.
관련성 순으로 광고 없는 고품질 웹 검색 결과를 반환하여 모든 자동화 워크플로에 활용합니다
에이전트에게 학습 지식을 보완하는 최신 웹 정보에 접근할 수 있도록 합니다
Kagi의 편향 없는 검색 결과에 의존하는 리서치 자동화 워크플로를 구축합니다
할 수 있는 것
Kagi Search through Neotask provides two core capabilities:
Web search - run any search query and receive high-quality, unbiased results ranked by relevance rather than advertising dollars. Kagi's index focuses on signal over noise.
Enriched search - access Kagi's enriched results that include summaries, source credibility signals, and structured information alongside standard web results.
모든 액션은 자율적으로 실행되거나 승인을 요청합니다 - 여러분이 결정합니다.
이렇게 물어보세요
"Search for the latest research on large language model reasoning capabilities"
"Find recent news on the EU AI Act implementation timeline"
"Search for case studies on AI agent automation in financial services"
"What are the top-rated open-source vector databases in 2025?"
"Find technical documentation for the Anthropic Claude API"
프로 팁
Kagi search is ideal for research-heavy agent workflows where result quality matters - pair it with a summarization step so agents synthesize findings automatically.
Use Kagi as the default search tool for agents that need real-time information beyond their training cutoff.
Combine Kagi search with your knowledge base tool so agents can cross-reference web findings with internal documentation.
Multi-agent teams can run parallel searches across different aspects of a research topic and compile a comprehensive briefing in one pass.