meishiwhy LitMind Review Generator
输入研究主题，自动检索知识库相关文献，分析研究趋势、主题聚类、共识与争议，生成结构化综述框架和带引用的综述草稿。
工作流程
- 检索 KB 获取相关论文
- ThemeDiscoveryEngine 聚类主题
- TrendAnalyzer 统计高频变量/方法/设计
- ConsensusAnalyzer 识别研究共识
- ControversyAnalyzer 识别研究争议
- GapAnalyzer 发现研究空白
- OutlineGenerator 生成综述框架
- ReviewComposer 生成综述全文
输出结构
- researchThemes — 研究主题聚类
- researchConsensus — 研究共识
- researchControversies — 研究争议
- researchGaps — 研究空白
- reviewOutline — 综述框架
- reviewDraft — 综述全文
调用方式
Python API
from litmind_knowledge.service import KnowledgeBase
from litmind_evidence import EvidenceFinderService
from litmind_review import ReviewGeneratorService, ReviewInput
from litmind_analyzer.providers import AnthropicProvider
kb = KnowledgeBase()
provider = AnthropicProvider()
ev = EvidenceFinderService(kb=kb, llm_provider=provider)
service = ReviewGeneratorService(kb=kb, evidence_service=ev, llm_provider=provider)
result = service.generate_review(ReviewInput(topic="Flatfoot Biomechanics"))
print("Themes:", len(result.researchThemes))
print("Draft:", len(result.reviewDraft), "chars")
from litmind_knowledge.service import KnowledgeBase
from litmind_evidence import EvidenceFinderService
from litmind_review import ReviewGeneratorService, ReviewInput
from litmind_analyzer.providers import AnthropicProvider
kb = KnowledgeBase()
provider = AnthropicProvider()
ev = EvidenceFinderService(kb=kb, llm_provider=provider)
service = ReviewGeneratorService(kb=kb, evidence_service=ev, llm_provider=provider)
result = service.generate_review(ReviewInput(topic="Flatfoot Biomechanics"))
print(f"Themes: {len(result.researchThemes)}")
print(f"Draft: {len(result.reviewDraft)} chars")