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https://github.com/1Panel-dev/MaxKB.git
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Merge branch 'main' of github.com:1Panel-dev/maxkb
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commit
4d6d022fc8
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@ -10,8 +10,8 @@ on:
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type: choice
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options:
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- linux/amd64
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- linux/arm64
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- linux/amd64,linux/arm64
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#- linux/arm64
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#- linux/amd64,linux/arm64
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jobs:
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build-and-push-python-pg-to-ghcr:
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runs-on: ubuntu-latest
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@ -14,8 +14,8 @@ on:
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type: choice
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options:
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- linux/amd64
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- linux/arm64
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- linux/amd64,linux/arm64
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#- linux/arm64
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#- linux/amd64,linux/arm64
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jobs:
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build-and-push-vector-model-to-ghcr:
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@ -14,8 +14,8 @@ on:
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type: choice
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options:
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- linux/amd64
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- linux/arm64
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- linux/amd64,linux/arm64
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#- linux/arm64
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#- linux/amd64,linux/arm64
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registry:
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description: 'Push To Registry'
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required: true
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@ -13,7 +13,6 @@ import os
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import re
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from importlib import import_module
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from urllib.parse import urljoin, urlparse
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import torch.backends
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import yaml
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BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
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@ -91,7 +90,7 @@ class Config(dict):
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"EMAIL_HOST_PASSWORD": "",
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# 向量模型
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"EMBEDDING_MODEL_NAME": "shibing624/text2vec-base-chinese",
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"EMBEDDING_DEVICE": "cuda" if torch.cuda.is_available() else "mps" if torch.backends.mps.is_available() else "cpu",
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"EMBEDDING_DEVICE": "cpu",
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"EMBEDDING_MODEL_PATH": os.path.join(PROJECT_DIR, 'models'),
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# 向量库配置
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"VECTOR_STORE_NAME": 'pg_vector'
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@ -19,6 +19,7 @@ diskcache = "^5.6.3"
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pillow = "^10.2.0"
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filetype = "^1.2.0"
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chardet = "^5.2.0"
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torch = { url = "https://download.pytorch.org/whl/cpu/torch-2.2.1%2Bcpu-cp311-cp311-linux_x86_64.whl", markers = "sys_platform == 'linux'"}
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sentence-transformers = "^2.2.2"
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blinker = "^1.6.3"
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openai = "^1.13.3"
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