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34 lines
1.1 KiB
34 lines
1.1 KiB
# 嵌入模型
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EMBED_MODEL_NAME = "BAAI/bge-m3"
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EMBED_API_KEY = "sk-pbqibyjwhrgmnlsmdygplahextfaclgnedetybccknxojlyl"
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EMBED_BASE_URL = "https://api.siliconflow.cn/v1"
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EMBED_DIM = 1024
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EMBED_MAX_TOKEN_SIZE = 8192
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# 大模型 【DeepSeek深度求索官方】
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#LLM_API_KEY = "sk-44ae895eeb614aa1a9c6460579e322f1"
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#LLM_BASE_URL = "https://api.deepseek.com"
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#LLM_MODEL_NAME = "deepseek-chat"
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# 阿里云提供的大模型服务
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LLM_API_KEY="sk-f6da0c787eff4b0389e4ad03a35a911f"
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LLM_BASE_URL = "https://dashscope.aliyuncs.com/compatible-mode/v1"
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# LLM_MODEL_NAME = "qwen-plus" # 不要使用通义千问，会导致化学方程式不正确！
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LLM_MODEL_NAME = "deepseek-v3"
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# 视觉模型
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VISION_API_KEY = "sk-pbqibyjwhrgmnlsmdygplahextfaclgnedetybccknxojlyl"
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VISION_BASE_URL = "https://api.siliconflow.cn/v1/chat/completions"
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VISION_MODEL_NAME = "GLM-4.1V-9B-Thinking"
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# Neo4j
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NEO4J_URI = "bolt://localhost:7687"
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NEO4J_USERNAME = "neo4j"
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NEO4J_PASSWORD = "DsideaL147258369"
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NEO4J_AUTH = (NEO4J_USERNAME, NEO4J_PASSWORD)
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# 写入Neo4j的批次大小
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BATCH_SIZE_NODES = 100
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# 写入Neo4j的批次大小
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BATCH_SIZE_EDGES = 100
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