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Add Graph Baidusearch and dsl_example (#1378)

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### What problem does this PR solve?

#918 

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
This commit is contained in:
GYH
2024-07-05 09:50:57 +08:00
committed by GitHub
parent 957cd55e4a
commit cf542e80b3
4 changed files with 172 additions and 8 deletions
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103
graph/test/dsl_examples/retrieval_relevant_keyword_baidu_and_generate.json Normal file
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{
"components": {
"begin": {
"obj":{
"component_name": "Begin",
"params": {
"prologue": "Hi there!"
}
},
"downstream": ["answer:0"],
"upstream": []
},
"answer:0": {
"obj": {
"component_name": "Answer",
"params": {}
},
"downstream": ["retrieval:0"],
"upstream": ["begin"]
},
"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": ["21ca4e6a2c8911ef8b1e0242ac120006"],
"empty_response": "Sorry, knowledge base has noting related information."
}
},
"downstream": ["relevant:0"],
"upstream": ["answer:0"]
},
"relevant:0": {
"obj": {
"component_name": "Relevant",
"params": {
"llm_id": "deepseek-chat",
"temperature": 0.02,
"yes": "generate:0",
"no": "keyword:0"
}
},
"downstream": ["keyword:0", "generate:0"],
"upstream": ["retrieval:0"]
},
"generate:0": {
"obj": {
"component_name": "Generate",
"params": {
"llm_id": "deepseek-chat",
"prompt": "You are an intelligent assistant. Please answer the question based on content of knowledge base. When all knowledge base content is irrelevant to the question, your answer must include the sentence \"The answer you are looking for is not found in the knowledge base!\". Answers need to consider chat history.\n Knowledge base content is as following:\n {input}\n The above is the content of knowledge base.",
"temperature": 0.2
}
},
"downstream": ["answer:0"],
"upstream": ["relevant:0"]
},
"keyword:0": {
"obj": {
"component_name": "KeywordExtract",
"params": {
"llm_id": "deepseek-chat",
"prompt": "- Role: You're a question analyzer.\n - Requirements:\n - Summarize user's question, and give top %s important keyword/phrase.\n - Use comma as a delimiter to separate keywords/phrases.\n - Answer format: (in language of user's question)\n - keyword: ",
"temperature": 0.2,
"top_n": 1
}
},
"downstream": ["baidu:0"],
"upstream": ["relevant:0"]
},
"baidu:0": {
"obj":{
"component_name": "Baidu",
"params": {
"top_n": 10
}
},
"downstream": ["generate:1"],
"upstream": ["keyword:0"]
},
"generate:1": {
"obj": {
"component_name": "Generate",
"params": {
"llm_id": "deepseek-chat",
"prompt": "You are an intelligent assistant. Please answer the question based on content searched from Baidu. When the answer from a Baidu search is incomplete, you need to output the URL link of the corresponding content as well. When all the content searched from Baidu is irrelevant to the question, your answer must include the sentence, \"The answer you are looking for is not found in the Baidu search!\". Answers need to consider chat history.\n The content of Baidu search is as follows:\n {input}\n The above is the content of Baidu search.",
"temperature": 0.2
}
},
"downstream": ["answer:0"],
"upstream": ["baidu:0"]
}
},
"history": [],
"path": [],
"messages": [],
"reference": {},
"answer": []
}