litmind-review

name	litmind-review
description	LitMind Review Generator — 基于科研知识库的综述生成系统

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

1. 检索 KB 获取相关论文
2. ThemeDiscoveryEngine 聚类主题
3. TrendAnalyzer 统计高频变量/方法/设计
4. ConsensusAnalyzer 识别研究共识
5. ControversyAnalyzer 识别研究争议
6. GapAnalyzer 发现研究空白
7. OutlineGenerator 生成综述框架
8. 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")