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0e8b9588ba
### What problem does this PR solve? 1. Fix error of book chunking. 2. Fix format issues. ### Type of change - [x] Bug Fix (non-breaking change which fixes an issue) - [x] Refactoring --------- Signed-off-by: Jin Hai <haijin.chn@gmail.com>
61 lines
2.3 KiB
JSON
61 lines
2.3 KiB
JSON
{
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"components": {
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"begin": {
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"obj":{
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"component_name": "Begin",
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"params": {
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"prologue": "Hi there!"
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}
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},
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"downstream": ["retrieval:0"],
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"upstream": []
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},
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"retrieval:0": {
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"obj": {
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"component_name": "Retrieval",
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"params": {
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"similarity_threshold": 0.2,
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"keywords_similarity_weight": 0.3,
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"top_n": 6,
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"top_k": 1024,
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"rerank_id": "",
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"empty_response": "Nothing found in dataset",
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"kb_ids": ["1a3d1d7afb0611ef9866047c16ec874f"]
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}
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},
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"downstream": ["generate:0"],
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"upstream": ["begin"]
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},
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"generate:0": {
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"obj": {
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"component_name": "LLM",
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"params": {
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"llm_id": "deepseek-chat",
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"sys_prompt": "You are an intelligent assistant. Please summarize the content of the knowledge base to answer the question. Please list the data in the knowledge base and answer in detail. 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 Here is the knowledge base:\n {retrieval:0@formalized_content}\n The above is the knowledge base.",
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"temperature": 0.2
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}
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},
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"downstream": ["message:0"],
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"upstream": ["retrieval:0"]
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},
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"message:0": {
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"obj": {
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"component_name": "Message",
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"params": {
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"content": ["{generate:0@content}"]
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}
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},
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"downstream": [],
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"upstream": ["generate:0"]
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}
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},
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"history": [],
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"path": [],
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"retrieval": {"chunks": [], "doc_aggs": []},
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"globals": {
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"sys.query": "",
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"sys.user_id": "",
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"sys.conversation_turns": 0,
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"sys.files": []
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}
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} |