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4.5 KiB
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1 line
4.5 KiB
JSON
{"repo": "chenxingqiang/qaretriever", "files": {"evaluation/eval_config.yaml": {"90f33f5bb534d40d354a383884e35b8d392281ae": {"t": 1785745208.8259757, "n": 3347, "h": "367317991fbaabd2", "c": "provide_settings:\n llm:\n provider: \"OpenAI\"\n config:\n model: \"o1-mini\"\n# api_key: \"sk-xxxx\" # Uncomment to override the `OPENAI_API_KEY` set in the environment variable\n# base_url: \"\"\n\n# provider: \"DeepSeek\"\n# config:\n# model: \"deepseek-reasoner\"\n## api_key: \"sk-xxxx\" # Uncomment to override the `DEEPSEEK_API_KEY` set in the environment variable\n## base_url: \"\"\n\n# provider: \"SiliconFlow\"\n# config:\n# model: \"deepseek-ai/DeepSeek-R1\"\n## api_key: \"xxxx\" # Uncomment to override the `SILICONFLOW_API_KEY` set in the environment variable\n## base_url: \"\"\n\n# provider: \"PPIO\"\n# config:\n# model: \"deepseek/deepseek-r1-turbo\"\n## api_key: \"xxxx\" # Uncomment to override the `PPIO_API_KEY` set in the environment variable\n## base_url: \"\"\n\n# provider: \"TogetherAI\"\n# config:\n# model: \"deepseek-ai/DeepSeek-R1\"\n## api_key: \"xxxx\" # Uncomment to override the `TOGETHER_API_KEY` set in the environment variable\n\n# provider: \"AzureOpenAI\"\n# config:\n# model: \"\"\n# api_version: \"\"\n## azure_endpoint: \"xxxx\" # Uncomment to override the `AZURE_OPENAI_ENDPOINT` set in the environment variable\n## api_key: \"xxxx\" # Uncomment to override the `AZURE_OPENAI_KEY` set in the environment variable\n\n# provider: \"Ollama\"\n# config:\n# model: \"qwq\"\n## base_url: \"\"\n\n# provider: \"Novita\"\n# config:\n# model: \"deepseek/deepseek-v3-0324\"\n## api_key: \"xxxx\" # Uncomment to override the `NOVITA_API_KEY` set in the environment variable\n## base_url: \"\"\n\n embedding:\n provider: \"OpenAIEmbedding\"\n config:\n model: \"text-embedding-ada-002\"\n# api_key: \"\" # Uncomment to override the `OPENAI_API_KEY` set in the environment variable\n\n\n# provider: \"MilvusEmbedding\"\n# config:\n# model: \"default\"\n\n# provider: \"VoyageEmbedding\"\n# config:\n# model: \"voyage-3\"\n## api_key: \"\" # Uncomment to override the `VOYAGE_API_KEY` set in the environment variable\n\n# provider: \"BedrockEmbedding\"\n# config:\n# model: \"amazon.titan-embed-text-v2:0\"\n## aws_access_key_id: \"\" # Uncomment to override the `AWS_ACCESS_KEY_ID` set in the environment variable\n## aws_secret_access_key: \"\" # Uncomment to override the `AWS_SECRET_ACCESS_KEY` set in the environment variable\n \n# provider: \"SiliconflowEmbedding\"\n# config:\n# model: \"BAAI/bge-m3\"\n# . api_key: \"\" # Uncomment to override the `SILICONFLOW_API_KEY` set in the environment variable \n\n# provider: \"NovitaEmbedding\"\n# config:\n# model: \"baai/bge-m3\"\n# . api_key: \"\" # Uncomment to override the `NOVITA_API_KEY` set in the environment variable \n\n file_loader:\n# provider: \"PDFLoader\"\n# config: {}\n\n provider: \"JsonFileLoader\"\n config:\n text_key: \"text\"\n\n# provider: \"TextLoader\"\n# config: {}\n\n# provider: \"UnstructuredLoader\"\n# config: {}\n\n web_crawler:\n provider: \"FireCrawlCrawler\"\n config: {}\n\n# provider: \"Crawl4AICrawler\"\n# config: {}\n\n# provider: \"JinaCrawler\"\n# config: {}\n\n vector_db:\n provider: \"Milvus\"\n config:\n default_collection: \"QARetriever\"\n uri: \"./milvus.db\"\n token: \"root:Milvus\"\n db: \"default\"\n\nquery_settings:\n max_iter: 3\n\nload_settings:\n chunk_size: 1500\n chunk_overlap: 100\n"}}, "config_custom.yaml": {"90f33f5bb534d40d354a383884e35b8d392281ae": {"t": 1785746320.2837074, "n": 648, "h": "6f15d522ec1197ab", "c": "embedding:\n device: cpu\n local_files_only: false\n model: all-MiniLM-L6-v2\n provider: sentence_transformer\nllm:\n api_key: sk-d02fca54e07f4bdfb1778aeb62ae7671\n base_url: https://api.deepseek.com\n max_tokens: 4000\n model: deepseek-chat\n provider: deepseek\n temperature: 0.1\nqa_generation:\n chunk_overlap: 200\n chunk_size: 1000\n num_questions_per_chunk: 3\n question_types:\n - factual\n - analytical\n - conceptual\nretrieval:\n hybrid_weight:\n original_docs: 0.4\n qa_pairs: 0.6\n similarity_threshold: 0.7\n top_k: 5\nvector_db:\n collection_name: qaretriever_test\n dimension: 384\n host: localhost\n port: 19530\n provider: milvus\n"}}}} |