mirror of
https://github.com/hhy-huang/HiRAG.git
synced 2025-09-16 23:52:00 +03:00
[fix]:bug, cannot async for some embedding function
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@@ -68,7 +68,7 @@ def wrap_embedding_func_with_attrs(**kwargs):
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@wrap_embedding_func_with_attrs(embedding_dim=2048, max_token_size=8192)
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async def GLM_embedding(texts: list[str]) -> np.ndarray:
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model_name = GLM_MODEL # "embedding-3"
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client = OpenAI(
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client = AsyncOpenAI(
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api_key=GLM_API_KEY,
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base_url=GLM_URL
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)
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@@ -82,7 +82,7 @@ async def GLM_embedding(texts: list[str]) -> np.ndarray:
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@wrap_embedding_func_with_attrs(embedding_dim=4096, max_token_size=8192)
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async def NV_embedding(texts: list[str]) -> np.ndarray:
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model_name = NVIDIA_MODEL # "nvidia/nv-embed-v1"
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client = OpenAI(
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client = AsyncOpenAI(
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api_key=NVIDIA_API_KEY,
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base_url=NVIDIA_URL,
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)
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@@ -59,7 +59,7 @@ def wrap_embedding_func_with_attrs(**kwargs):
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@wrap_embedding_func_with_attrs(embedding_dim=2048, max_token_size=8192)
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async def GLM_embedding(texts: list[str]) -> np.ndarray:
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model_name = "embedding-3"
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client = OpenAI(
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client = AsyncOpenAI(
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api_key=GLM_API_KEY,
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base_url="https://open.bigmodel.cn/api/paas/v4/"
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)
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@@ -50,7 +50,7 @@ def wrap_embedding_func_with_attrs(**kwargs):
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@wrap_embedding_func_with_attrs(embedding_dim=2048, max_token_size=8192)
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async def GLM_embedding(texts: list[str]) -> np.ndarray:
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model_name = "embedding-3"
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client = OpenAI(
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client = AsyncOpenAI(
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api_key=GLM_API_KEY,
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base_url="https://open.bigmodel.cn/api/paas/v4/"
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)
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@@ -42,7 +42,7 @@ def wrap_embedding_func_with_attrs(**kwargs):
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@wrap_embedding_func_with_attrs(embedding_dim=config['model_params']['glm_embedding_dim'], max_token_size=config['model_params']['max_token_size'])
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async def GLM_embedding(texts: list[str]) -> np.ndarray:
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model_name = "embedding-3"
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client = OpenAI(
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client = AsyncOpenAI(
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api_key=GLM_API_KEY,
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base_url=GLM_URL
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)
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@@ -39,7 +39,7 @@ def wrap_embedding_func_with_attrs(**kwargs):
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@wrap_embedding_func_with_attrs(embedding_dim=config['model_params']['glm_embedding_dim'], max_token_size=config['model_params']['max_token_size'])
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async def GLM_embedding(texts: list[str]) -> np.ndarray:
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model_name = config['glm']['embedding_model']
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client = OpenAI(
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client = AsyncOpenAI(
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api_key=GLM_API_KEY,
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base_url=GLM_URL
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)
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@@ -50,7 +50,7 @@ async def OPENAI_embedding(texts: list[str]) -> np.ndarray:
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@wrap_embedding_func_with_attrs(embedding_dim=config['model_params']['glm_embedding_dim'], max_token_size=config['model_params']['max_token_size'])
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async def GLM_embedding(texts: list[str]) -> np.ndarray:
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model_name = config['glm']['embedding_model']
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client = OpenAI(
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client = AsyncOpenAI(
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api_key=GLM_API_KEY,
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base_url=GLM_URL
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)
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