ragflow/agent/test/dsl_examples/headhunter_zh.json
Kevin Hu 152072f900
Add graphrag (#1793)
### What problem does this PR solve?

#1594

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2024-08-02 18:51:14 +08:00

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{
"components": {
"begin": {
"obj": {
"component_name": "Begin",
"params": {
"prologue": "您好我是AGI方向的猎头了解到您是这方面的大佬然后冒昧的就联系到您。这边有个机会想和您分享RAGFlow正在招聘您这个岗位的资深的工程师不知道您那边是不是感兴趣"
}
},
"downstream": ["answer:0"],
"upstream": []
},
"answer:0": {
"obj": {
"component_name": "Answer",
"params": {}
},
"downstream": ["categorize:0"],
"upstream": ["begin", "message:reject"]
},
"categorize:0": {
"obj": {
"component_name": "Categorize",
"params": {
"llm_id": "deepseek-chat",
"category_description": {
"about_job": {
"description": "该问题关于职位本身或公司的信息。",
"examples": "什么岗位?\n汇报对象是谁?\n公司多少人\n公司有啥产品\n具体工作内容是啥\n地点哪里\n双休吗",
"to": "retrieval:0"
},
"casual": {
"description": "该问题不关于职位本身或公司的信息,属于闲聊。",
"examples": "你好\n好久不见\n你男的女的\n你是猴子派来的救兵吗\n上午开会了?\n你叫啥\n最近市场如何?生意好做吗?",
"to": "generate:casual"
},
"interested": {
"description": "该回答表示他对于该职位感兴趣。",
"examples": "嗯\n说吧\n说说看\n还好吧\n是的\n哦\nyes\n具体说说",
"to": "message:introduction"
},
"answer": {
"description": "该回答表示他对于该职位不感兴趣,或感觉受到骚扰。",
"examples": "不需要\n不感兴趣\n暂时不看\n不要\nno\n我已经不干这个了\n我不是这个方向的",
"to": "message:reject"
}
}
}
},
"downstream": [
"message:introduction",
"generate:casual",
"message:reject",
"retrieval:0"
],
"upstream": ["answer:0"]
},
"message:introduction": {
"obj": {
"component_name": "Message",
"params": {
"messages": [
"我简单介绍以下:\nRAGFlow 是一款基于深度文档理解构建的开源 RAGRetrieval-Augmented Generation引擎。RAGFlow 可以为各种规模的企业及个人提供一套精简的 RAG 工作流程结合大语言模型LLM针对用户各类不同的复杂格式数据提供可靠的问答以及有理有据的引用。https://github.com/infiniflow/ragflow\n您那边还有什么要了解的"
]
}
},
"downstream": ["answer:1"],
"upstream": ["categorize:0"]
},
"answer:1": {
"obj": {
"component_name": "Answer",
"params": {}
},
"downstream": ["categorize:1"],
"upstream": [
"message:introduction",
"generate:aboutJob",
"generate:casual",
"generate:get_wechat",
"generate:nowechat"
]
},
"categorize:1": {
"obj": {
"component_name": "Categorize",
"params": {
"llm_id": "deepseek-chat",
"category_description": {
"about_job": {
"description": "该问题关于职位本身或公司的信息。",
"examples": "什么岗位?\n汇报对象是谁?\n公司多少人\n公司有啥产品\n具体工作内容是啥\n地点哪里\n双休吗",
"to": "retrieval:0"
},
"casual": {
"description": "该问题不关于职位本身或公司的信息,属于闲聊。",
"examples": "你好\n好久不见\n你男的女的\n你是猴子派来的救兵吗\n上午开会了?\n你叫啥\n最近市场如何?生意好做吗?",
"to": "generate:casual"
},
"wechat": {
"description": "该回答表示他愿意加微信,或者已经报了微信号。",
"examples": "\n\n\n\nyes\n15002333453\nwindblow_2231",
"to": "generate:get_wechat"
},
"giveup": {
"description": "",
"examples": "\n\n\n\nno\n便\n",
"to": "generate:nowechat"
}
},
"message_history_window_size": 8
}
},
"downstream": [
"retrieval:0",
"generate:casual",
"generate:get_wechat",
"generate:nowechat"
],
"upstream": ["answer:1"]
},
"generate:casual": {
"obj": {
"component_name": "Generate",
"params": {
"llm_id": "deepseek-chat",
"prompt": "AGIAGI便",
"temperature": 0.9,
"message_history_window_size": 12,
"cite": false
}
},
"downstream": ["answer:1"],
"upstream": ["categorize:0", "categorize:1"]
},
"retrieval:0": {
"obj": {
"component_name": "Retrieval",
"params": {
"similarity_threshold": 0.2,
"keywords_similarity_weight": 0.3,
"top_n": 6,
"top_k": 1024,
"rerank_id": "BAAI/bge-reranker-v2-m3",
"kb_ids": ["869a236818b811ef91dffa163e197198"]
}
},
"downstream": ["generate:aboutJob"],
"upstream": ["categorize:0", "categorize:1"]
},
"generate:aboutJob": {
"obj": {
"component_name": "Generate",
"params": {
"llm_id": "deepseek-chat",
"prompt": "AGI\n - 便JD\n - JD\n :\n {input}\n ",
"temperature": 0.02
}
},
"downstream": ["answer:1"],
"upstream": ["retrieval:0"]
},
"generate:get_wechat": {
"obj": {
"component_name": "Generate",
"params": {
"llm_id": "deepseek-chat",
"prompt": "AGIweixin_kevinE-mailkkk@ragflow.com",
"temperature": 0.1,
"message_history_window_size": 12,
"cite": false
}
},
"downstream": ["answer:1"],
"upstream": ["categorize:1"]
},
"generate:nowechat": {
"obj": {
"component_name": "Generate",
"params": {
"llm_id": "deepseek-chat",
"prompt": "AGIweixin_kevinE-mailkkk@ragflow.com",
"temperature": 0.1,
"message_history_window_size": 12,
"cite": false
}
},
"downstream": ["answer:1"],
"upstream": ["categorize:1"]
},
"message:reject": {
"obj": {
"component_name": "Message",
"params": {
"messages": [
"",
""
]
}
},
"downstream": ["answer:0"],
"upstream": ["categorize:0"]
}
},
"history": [],
"messages": [],
"path": [],
"reference": [],
"answer": []
}