🔬 Research Weaver

AI-powered multi-agent research system that performs iterative, in-depth research by intelligently searching, reading, and synthesizing information from multiple sources.

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Powerful Features

Experience the next generation of AI-powered research with our multi-agent system

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Multi-Agent Collaboration

Supervisor coordinates specialized researcher agents, each focused on specific aspects of your research query for comprehensive coverage.

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Iterative Research

Continuously refines search strategies based on findings, ensuring no important information is missed in the research process.

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Multi-Source Integration

Gathers and analyzes information from various web sources, providing a comprehensive view of your research topic.

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LLM-Powered Analysis

Uses advanced language models to understand context, synthesize information, and generate insights from collected data.

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Real-Time Visualization

Streamlit-based interface provides real-time tracking of the research process with interactive progress monitoring.

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Structured Reports

Generates comprehensive research reports with proper citations, references, and structured analysis of findings.

Demo Showcase

See how Research Weaver's multi-agent system collaborates to conduct in-depth research

🔬 Research Case Study: 生猪市场投资机会分析

Watch AI agents collaborate to analyze complex investment opportunities in the pig farming market

1️⃣

Task Analysis

Supervisor analyzes query and creates specialized researchers

Task Analysis
2️⃣

Information Gathering

AI agents search, read, and extract relevant information

Information Gathering
3️⃣

Expert Analysis

Policy experts analyze regulatory impacts and market trends

Expert Analysis
4️⃣

Report Generation

Comprehensive research report with citations and insights

Report Generation
View Full Demo Try It Yourself

This demo showcases a real research session where multiple AI agents collaborate to analyze investment opportunities, demonstrating web search integration, content analysis, and structured report generation with proper citations.

📊 Sample Research Report

Explore a complete research report generated by Research Weaver's AI agents

🐷 中国生猪市场投资机会综合分析报告

AI多智能体协作生成的专业投资研究报告

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中国生猪市场投资机会综合分析报告（2025年7月）

一、市场现状三维度验证

1. 价格-产能联动

当前猪粮比5.1:1低于盈亏平衡点[1]，但能繁母猪存栏4043万头仍高于正常保有量[2]，预示2025Q4前供应压力持续。价格分析师预测Q4可能回升至16-17元/公斤[5]，与供需分析师预测的130万吨缺口形成印证[9]。

2. 政策缓冲效应

储备肉机制已启动8万吨收储[3]，配合能繁母猪补贴（80元/头）[1]，政策组合拳可缓解约15%的价格波动幅度。但环保升级要求（粪污利用率≥80%）[1]将加速中小散户退出，利好规模化企业。

3. 成本-消费重构

饲料成本占比60-70%[4]仍是主要风险，但豆粕价格3716元/吨较峰值下降11.5%[6]。消费端预制菜需求增长（占比12%）[9]创造新增长点，黑猪肉溢价30-50%[7]显示高端化潜力。

二、投资机会矩阵

机会类型 时间窗口 驱动因素 风险提示 数据支持
期货套利 2025Q3-Q4 期现价差扩大（当前-8.2%） 政策干预超预期 [1][5]
规模化养殖 2025-2027 行业集中度提升（CR10达35%） 环保成本攀升 [2][13]
冷链物流 长期 冷鲜肉流通半径扩大 设备投资回收期长（5-7年） [4][9]
替代蛋白 中期 年轻群体接受度提升 技术成熟度不足 [7][8]

三、投资策略建议

1. 周期性机会

  • 关注2025Q3末的价格拐点信号（能繁母猪存栏降至4000万头以下）[2]
  • 参考猪粮比预警区间（低于5:1时布局多单）[1]

2. 结构性机会

  • 重点考察年出栏50万头以上企业（享受250元/㎡建设补贴）[2]
  • 跟踪楼房养猪项目（广东恩平案例显示环保投资回报率18%）[1]

3. 风险对冲工具

  • 利用豆粕期货对冲饲料成本（每头猪需0.3吨豆粕）[4][6]
  • 参与能繁母猪保险（覆盖60%市场价格波动）[1]

四、关键预警指标

🚨 红色警报

  • 豆粕价格突破4000元/吨（当前3716元/吨）[6]
  • 单月进口量骤增30%以上（当前月均11.7万吨）[10]

📈 机会信号

  • 猪粮比连续3周低于5:1[1]
  • 规模化率突破75%[13]
  • 预制菜用肉需求占比达15%[9]

参考文献

1. 生猪产品数据（2025年6月） - 2025-07 - www.moa.gov.cn
2. 农业农村部关于印发《生猪产能调控实施方案（2024年修订）》的通知 - 2024-03 - www.moa.gov.cn
3. 中央储备冻猪肉收储轮储制度详细解读 - 2025-06 - www.chinafeedm.com
4. 2025 年度养殖行业分析 - 2025-03 - www.lhratings.com
5. 2025 年生猪价格分析及下半年走势预测 - 2025-06 - wap.soozhu.com
6. 2025年我国大宗农产品价格或走向分化 - 2025-01 - www.21jingji.com
7. 2025上半年猪肉产量大揭秘 - 2025-06 - www.cvonet.com
8. 2025猪肉市场供需、价格与消费趋势全解析 - 2025-05 - www.jbzyw.com
9. 2025年预测：中国猪肉消费量将达到5680万吨 - 2024-12 - ngx.179c.com
10. 2025年中国猪肉贸易的未来：趋势与预测 - 2025-02 - landsurcapital.com
11. Mysteel农产品解读：2024年12月猪肉进口数据分析 - 2025-01 - www.caaa.cn
12. 北京市生猪产能调控实施方案（2024年修订） - 2024-04 - www.beijing.gov.cn
13. 牧原股份成本目标12元/公斤 - 2025-04 - finance.sina.com.cn

📊 本报告由Research Weaver AI多智能体系统自动生成，展示了从数据收集到深度分析的完整研究流程

How It Works

Understanding the research process from query to comprehensive report

1

Query Analysis

Supervisor agent analyzes your research query and breaks it down into specialized research tasks.

2

Agent Creation

Specialized researcher agents are created with specific roles and expertise areas relevant to your query.

3

Information Gathering

Agents search the web, read articles, and extract relevant information using advanced AI techniques.

4

Analysis & Synthesis

Collected information is analyzed, cross-referenced, and synthesized into comprehensive insights.

5

Report Generation

A final research report is generated with citations, structured analysis, and actionable conclusions.

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